@article{3370,
  abstract     = {Supertree methods are widely applied and give rise to new conclusions about phylogenies (e.g., Bininda-Emonds et al. 2007). Although several desiderata for supertree methods exist (Wilkinson, Thorley, et al. 2004), only few of them have been studied in greater detail, examples include shape bias (Wilkinson et al. 2005) or pareto properties (Wilkinson et al. 2007). Here I look more closely at two matrix representation methods, matrix representation with compatibility (MRC) and matrix representation with parsimony (MRP). Different null models of random data are studied and the resulting tree shapes are investigated. Thereby I consider unrooted trees and a bias in tree shape is determined by a tree balance measure. The measure for unrooted trees is a modification of a tree balance measure for rooted trees. I observe that depending on the underlying null model of random data, the methods may resolve conflict in favor of more balanced tree shapes. The analyses refer only to trees with the same taxon set, also known as the consensus setting (e.g., Wilkinson et al. 2007), but I will be able to draw conclusions on how to deal with missing data.},
  author       = {Kupczok, Anne},
  journal      = {Systematic Biology},
  number       = {2},
  pages        = {218 -- 225},
  publisher    = {Oxford University Press},
  title        = {{Consequences of different null models on the tree shape bias of supertree methods}},
  doi          = {10.1093/sysbio/syq086},
  volume       = {60},
  year         = {2011},
}

@article{3371,
  abstract     = {The Minisymposium “Cell Migration and Motility” was attended by approximately 500 visitors and covered a broad range of questions in the field using diverse model systems. Topics comprised actin dynamics, cell polarity, force transduction, signal transduction, bar- rier transmigration, and chemotactic guidance.},
  author       = {Sixt, Michael K and Parent, Carole},
  journal      = {Molecular Biology and Evolution},
  number       = {6},
  pages        = {724},
  publisher    = {Oxford University Press},
  title        = {{Cells on the move in Philadelphia}},
  doi          = {10.1091/mbc.E10-12-0958},
  volume       = {22},
  year         = {2011},
}

@article{3372,
  abstract     = {Nowak et al.1 argue that inclusive fitness theory has been of little value in explaining the natural world, and that it has led to negligible progress in explaining the evolution of eusociality. However, we believe that their arguments are based upon a misunderstanding of evolutionary theory and a misrepresentation of the empirical literature. We will focus our comments on three general issues.},
  author       = {Abbot, Patrick and Abe, Jun and Alcock, John and Alizon, Samuel and Alpedrinha, Joao and Andersson, Malte and Andre, Jean and Van Baalen, Minus and Balloux, Francois and Balshine, Sigal and Barton, Nicholas H and Beukeboom, Leo and Biernaskie, Jay and Bilde, Trine and Borgia, Gerald and Breed, Michael and Brown, Sam and Bshary, Redouan and Buckling, Angus and Burley, Nancy and Burton Chellew, Max and Cant, Michael and Chapuisat, Michel and Charnov, Eric and Clutton Brock, Tim and Cockburn, Andrew and Cole, Blaine and Colegrave, Nick and Cosmides, Leda and Couzin, Iain and Coyne, Jerry and Creel, Scott and Crespi, Bernard and Curry, Robert and Dall, Sasha and Day, Troy and Dickinson, Janis and Dugatkin, Lee and El Mouden, Claire and Emlen, Stephen and Evans, Jay and Ferriere, Regis and Field, Jeremy and Foitzik, Susanne and Foster, Kevin and Foster, William and Fox, Charles and Gadau, Juergen and Gandon, Sylvain and Gardner, Andy and Gardner, Michael and Getty, Thomas and Goodisman, Michael and Grafen, Alan and Grosberg, Rick and Grozinger, Christina and Gouyon, Pierre and Gwynne, Darryl and Harvey, Paul and Hatchwell, Ben and Heinze, Jürgen and Helantera, Heikki and Helms, Ken and Hill, Kim and Jiricny, Natalie and Johnstone, Rufus and Kacelnik, Alex and Kiers, E Toby and Kokko, Hanna and Komdeur, Jan and Korb, Judith and Kronauer, Daniel and Kümmerli, Rolf and Lehmann, Laurent and Linksvayer, Timothy and Lion, Sébastien and Lyon, Bruce and Marshall, James and Mcelreath, Richard and Michalakis, Yannis and Michod, Richard and Mock, Douglas and Monnin, Thibaud and Montgomerie, Robert and Moore, Allen and Mueller, Ulrich and Noë, Ronald and Okasha, Samir and Pamilo, Pekka and Parker, Geoff and Pedersen, Jes and Pen, Ido and Pfennig, David and Queller, David and Rankin, Daniel and Reece, Sarah and Reeve, Hudson and Reuter, Max and Roberts, Gilbert and Robson, Simon and Roze, Denis and Rousset, Francois and Rueppell, Olav and Sachs, Joel and Santorelli, Lorenzo and Schmid Hempel, Paul and Schwarz, Michael and Scott Phillips, Tom and Shellmann Sherman, Janet and Sherman, Paul and Shuker, David and Smith, Jeff and Spagna, Joseph and Strassmann, Beverly and Suarez, Andrew and Sundström, Liselotte and Taborsky, Michael and Taylor, Peter and Thompson, Graham and Tooby, John and Tsutsui, Neil and Tsuji, Kazuki and Turillazzi, Stefano and Úbeda, Francisco and Vargo, Edward and Voelkl, Bernard and Wenseleers, Tom and West, Stuart and West Eberhard, Mary and Westneat, David and Wiernasz, Diane and Wild, Geoff and Wrangham, Richard and Young, Andrew and Zeh, David and Zeh, Jeanne and Zink, Andrew},
  journal      = {Nature},
  number       = {7339},
  pages        = {E1 -- E4},
  publisher    = {Nature Publishing Group},
  title        = {{Inclusive fitness theory and eusociality}},
  doi          = {10.1038/nature09831},
  volume       = {471},
  year         = {2011},
}

@article{3373,
  abstract     = {The use of optical traps to measure or apply forces on the molecular level requires a precise knowledge of the trapping force field. Close to the trap center, this field is typically approximated as linear in the displacement of the trapped microsphere. However, applications demanding high forces at low laser intensities can probe the light-microsphere interaction beyond the linear regime. Here, we measured the full nonlinear force and displacement response of an optical trap in two dimensions using a dual-beam optical trap setup with back-focal-plane photodetection. We observed a substantial stiffening of the trap beyond the linear regime that depends on microsphere size, in agreement with Mie theory calculations. Surprisingly, we found that the linear detection range for forces exceeds the one for displacement by far. Our approach allows for a complete calibration of an optical trap.},
  author       = {Jahnel, Marcus and Behrndt, Martin and Jannasch, Anita and Schaeffer, Erik and Grill, Stephan},
  journal      = {Optics Letters},
  number       = {7},
  pages        = {1260 -- 1262},
  publisher    = {Optica Publishing Group},
  title        = {{Measuring the complete force field of an optical trap}},
  doi          = {10.1364/OL.36.001260},
  volume       = {36},
  year         = {2011},
}

@article{3374,
  abstract     = {Genetic regulatory networks enable cells to respond to changes in internal and external conditions by dynamically coordinating their gene expression profiles. Our ability to make quantitative measurements in these biochemical circuits has deepened our understanding of what kinds of computations genetic regulatory networks can perform, and with what reliability. These advances have motivated researchers to look for connections between the architecture and function of genetic regulatory networks. Transmitting information between a network's inputs and outputs has been proposed as one such possible measure of function, relevant in certain biological contexts. Here we summarize recent developments in the application of information theory to gene regulatory networks. We first review basic concepts in information theory necessary for understanding recent work. We then discuss the functional complexity of gene regulation, which arises from the molecular nature of the regulatory interactions. We end by reviewing some experiments that support the view that genetic networks responsible for early development of multicellular organisms might be maximizing transmitted 'positional information'.},
  author       = {Tkacik, Gasper and Walczak, Aleksandra},
  journal      = {Journal of Physics: Condensed Matter},
  number       = {15},
  publisher    = {IOP Publishing Ltd.},
  title        = {{Information transmission in genetic regulatory networks a review}},
  doi          = {10.1088/0953-8984/23/15/153102},
  volume       = {23},
  year         = {2011},
}

@article{3375,
  abstract     = {By exploiting an analogy between population genetics and statistical mechanics, we study the evolution of a polygenic trait under stabilizing selection, mutation and genetic drift. This requires us to track only four macroscopic variables, instead of the distribution of all the allele frequencies that influence the trait. These macroscopic variables are the expectations of: the trait mean and its square, the genetic variance, and of a measure of heterozygosity, and are derived from a generating function that is in turn derived by maximizing an entropy measure. These four macroscopics are enough to accurately describe the dynamics of the trait mean and of its genetic variance (and in principle of any other quantity). Unlike previous approaches that were based on an infinite series of moments or cumulants, which had to be truncated arbitrarily, our calculations provide a well-defined approximation procedure. We apply the framework to abrupt and gradual changes in the optimum, as well as to changes in the strength of stabilizing selection. Our approximations are surprisingly accurate, even for systems with as few as five loci. We find that when the effects of drift are included, the expected genetic variance is hardly altered by directional selection, even though it fluctuates in any particular instance. We also find hysteresis, showing that even after averaging over the microscopic variables, the macroscopic trajectories retain a memory of the underlying genetic states.},
  author       = {de Vladar, Harold and Barton, Nicholas H},
  journal      = {Journal of the Royal Society Interface},
  number       = {58},
  pages        = {720 -- 739},
  publisher    = {The Royal Society},
  title        = {{The statistical mechanics of a polygenic character under stabilizing selection mutation and drift}},
  doi          = {10.1098/rsif.2010.0438},
  volume       = {8},
  year         = {2011},
}

@article{3376,
  abstract     = {Regulatory conflicts occur when two signals that individually trigger opposite cellular responses are present simultaneously. Here, we investigate regulatory conflicts in the bacterial response to antibiotic combinations. We use an Escherichia coli promoter-GFP library to study the transcriptional response of many promoters to either additive or antagonistic drug pairs at fine two-dimensional (2D) resolution of drug concentration. Surprisingly, we find that this data set can be characterized as a linear sum of only two principal components. Component one, accounting for over 70% of the response, represents the response to growth inhibition by the drugs. Component two describes how regulatory conflicts are resolved. For the additive drug pair, conflicts are resolved by linearly interpolating the single drug responses, while for the antagonistic drug pair, the growth-limiting drug dominates the response. Importantly, for a given drug pair, the same conflict resolution strategy applies to almost all genes. These results provide a recipe for predicting gene expression responses to antibiotic combinations.},
  author       = {Bollenbach, Mark Tobias and Kishony, Roy},
  journal      = {Molecular Cell},
  number       = {4},
  pages        = {413 -- 425},
  publisher    = {Cell Press},
  title        = {{Resolution of gene regulatory conflicts caused by combinations of antibiotics}},
  doi          = {10.1016/j.molcel.2011.04.016},
  volume       = {42},
  year         = {2011},
}

@article{3377,
  abstract     = {By definition, transverse intersections are stable under in- finitesimal perturbations. Using persistent homology, we ex- tend this notion to sizeable perturbations. Specifically, we assign to each homology class of the intersection its robust- ness, the magnitude of a perturbation necessary to kill it, and prove that robustness is stable. Among the applications of this result is a stable notion of robustness for fixed points of continuous mappings and a statement of stability for con- tours of smooth mappings.},
  author       = {Edelsbrunner, Herbert and Morozov, Dmitriy and Patel, Amit},
  journal      = {Foundations of Computational Mathematics},
  number       = {3},
  pages        = {345 -- 361},
  publisher    = {Springer},
  title        = {{Quantifying transversality by measuring the robustness of intersections}},
  doi          = {10.1007/s10208-011-9090-8},
  volume       = {11},
  year         = {2011},
}

@article{3378,
  abstract     = {The theory of intersection homology was developed to study the singularities of a topologically stratified space. This paper in- corporates this theory into the already developed framework of persistent homology. We demonstrate that persistent intersec- tion homology gives useful information about the relationship between an embedded stratified space and its singularities. We give, and prove the correctness of, an algorithm for the computa- tion of the persistent intersection homology groups of a filtered simplicial complex equipped with a stratification by subcom- plexes. We also derive, from Poincare ́ Duality, some structural results about persistent intersection homology.},
  author       = {Bendich, Paul and Harer, John},
  journal      = {Foundations of Computational Mathematics},
  number       = {3},
  pages        = {305 -- 336},
  publisher    = {Springer},
  title        = {{Persistent intersection homology}},
  doi          = {10.1007/s10208-010-9081-1},
  volume       = {11},
  year         = {2011},
}

@article{3379,
  abstract     = {The process of gastrulation is highly conserved across vertebrates on both the genetic and morphological levels, despite great variety in embryonic shape and speed of development. This mechanism spatially separates the germ layers and establishes the organizational foundation for future development. Mesodermal identity is specified in a superficial layer of cells, the epiblast, where cells maintain an epithelioid morphology. These cells involute to join the deeper hypoblast layer where they adopt a migratory, mesenchymal morphology. Expression of a cascade of related transcription factors orchestrates the parallel genetic transition from primitive to mature mesoderm. Although the early and late stages of this process are increasingly well understood, the transition between them has remained largely mysterious. We present here the first high resolution in vivo observations of the blebby transitional morphology of involuting mesodermal cells in a vertebrate embryo. We further demonstrate that the zebrafish spadetail mutation creates a reversible block in the maturation program, stalling cells in the transition state. This mutation creates an ideal system for dissecting the specific properties of cells undergoing the morphological transition of maturing mesoderm, as we demonstrate with a direct measurement of cell–cell adhesion.},
  author       = {Row, Richard and Maître, Jean-Léon and Martin, Benjamin and Stockinger, Petra and Heisenberg, Carl-Philipp J and Kimelman, David},
  journal      = {Developmental Biology},
  number       = {1},
  pages        = {102 -- 110},
  publisher    = {Elsevier},
  title        = {{Completion of the epithelial to mesenchymal transition in zebrafish mesoderm requires Spadetail}},
  doi          = {10.1016/j.ydbio.2011.03.025},
  volume       = {354},
  year         = {2011},
}

@article{3380,
  abstract     = {Linkage between markers and genes that affect a phenotype of interest may be determined by examining differences in marker allele frequency in the extreme progeny of a cross between two inbred lines. This strategy is usually employed when pooling is used to reduce genotyping costs. When the cross progeny are asexual, the extreme progeny may be selected by multiple generations of asexual reproduction and selection. We analyse this method of measuring phenotype in asexual progeny and examine the changes in marker allele frequency due to selection over many generations. Stochasticity in marker frequency in the selected population arises due to the finite initial population size. We derive the distribution of marker frequency as a result of selection at a single major locus, and show that in order to avoid spurious changes in marker allele frequency in the selected population, the initial population size should be in the low to mid hundreds.},
  author       = {Logeswaran, Sayanthan and Barton, Nicholas H},
  journal      = {Genetical Research},
  number       = {3},
  pages        = {221 -- 232},
  publisher    = {Cambridge University Press},
  title        = {{Mapping Mendelian traits in asexual progeny using changes in marker allele frequency}},
  doi          = {10.1017/S0016672311000115},
  volume       = {93},
  year         = {2011},
}

@article{3381,
  abstract     = {In this survey, we compare several languages for specifying Markovian population models such as queuing networks and chemical reaction networks. All these languages — matrix descriptions, stochastic Petri nets, stoichiometric equations, stochastic process algebras, and guarded command models — describe continuous-time Markov chains, but they differ according to important properties, such as compositionality, expressiveness and succinctness, executability, and ease of use. Moreover, they provide different support for checking the well-formedness of a model and for analyzing a model.},
  author       = {Henzinger, Thomas A and Jobstmann, Barbara and Wolf, Verena},
  journal      = {IJFCS: International Journal of Foundations of Computer Science},
  number       = {4},
  pages        = {823 -- 841},
  publisher    = {World Scientific Publishing},
  title        = {{Formalisms for specifying Markovian population models}},
  doi          = {10.1142/S0129054111008441},
  volume       = {22},
  year         = {2011},
}

@article{3382,
  abstract     = {Dynamic tactile sensing is a fundamental ability to recognize materials and objects. However, while humans are born with partially developed dynamic tactile sensing and quickly master this skill, today's robots remain in their infancy. The development of such a sense requires not only better sensors but the right algorithms to deal with these sensors' data as well. For example, when classifying a material based on touch, the data are noisy, high-dimensional, and contain irrelevant signals as well as essential ones. Few classification methods from machine learning can deal with such problems. In this paper, we propose an efficient approach to infer suitable lower dimensional representations of the tactile data. In order to classify materials based on only the sense of touch, these representations are autonomously discovered using visual information of the surfaces during training. However, accurately pairing vision and tactile samples in real-robot applications is a difficult problem. The proposed approach, therefore, works with weak pairings between the modalities. Experiments show that the resulting approach is very robust and yields significantly higher classification performance based on only dynamic tactile sensing.},
  author       = {Kroemer, Oliver and Lampert, Christoph and Peters, Jan},
  journal      = {IEEE Transactions on Robotics},
  number       = {3},
  pages        = {545 -- 557},
  publisher    = {IEEE},
  title        = {{Learning dynamic tactile sensing with robust vision based training}},
  doi          = {10.1109/TRO.2011.2121130},
  volume       = {27},
  year         = {2011},
}

@article{3383,
  author       = {Heisenberg, Carl-Philipp J},
  journal      = {FEBS Journal},
  number       = {S1},
  pages        = {24 -- 24},
  publisher    = {Wiley-Blackwell},
  title        = {{Invited Lectures ‐ Symposia Area}},
  doi          = {10.1111/j.1742-4658.2011.08136.x},
  volume       = {278},
  year         = {2011},
}

@article{3384,
  abstract     = {Here we introduce a database of calibrated natural images publicly available through an easy-to-use web interface. Using a Nikon D70 digital SLR camera, we acquired about  six-megapixel images of Okavango Delta of Botswana, a tropical savanna habitat similar to where the human eye is thought to have evolved. Some sequences of images were captured unsystematically while following a baboon troop, while others were designed to vary a single parameter such as aperture, object distance, time of day or position on the horizon. Images are available in the raw RGB format and in grayscale. Images are also available in units relevant to the physiology of human cone photoreceptors, where pixel values represent the expected number of photoisomerizations per second for cones sensitive to long (L), medium (M) and short (S) wavelengths. This database is distributed under a Creative Commons Attribution-Noncommercial Unported license to facilitate research in computer vision, psychophysics of perception, and visual neuroscience.},
  author       = {Tkacik, Gasper and Garrigan, Patrick and Ratliff, Charles and Milcinski, Grega and Klein, Jennifer and Seyfarth, Lucia and Sterling, Peter and Brainard, David and Balasubramanian, Vijay},
  journal      = {PLoS One},
  number       = {6},
  publisher    = {Public Library of Science},
  title        = {{Natural images from the birthplace of the human eye}},
  doi          = {10.1371/journal.pone.0020409},
  volume       = {6},
  year         = {2011},
}

@article{3385,
  author       = {Sixt, Michael K},
  journal      = {Immunology Letters},
  number       = {1},
  pages        = {32 -- 34},
  publisher    = {Elsevier},
  title        = {{Interstitial locomotion of leukocytes}},
  doi          = {10.1016/j.imlet.2011.02.013},
  volume       = {138},
  year         = {2011},
}

@article{3386,
  abstract     = {Evolutionary theories of ageing predict that life span increases with decreasing extrinsic mortality, and life span variation among queens in ant species seems to corroborate this prediction: queens, which are the only reproductive in a colony, live much longer than queens in multi-queen colonies. The latter often inhabit ephemeral nest sites and accordingly are assumed to experience a higher mortality risk. Yet, all prior studies compared queens from different single- and multi-queen species. Here, we demonstrate an effect of queen number on longevity and fecundity within a single, socially plastic species, where queens experience the similar level of extrinsic mortality. Queens from single- and two-queen colonies had significantly longer lifespan and higher fecundity than queens living in associations of eight queens. As queens also differ neither in morphology nor the mode of colony foundation, our study shows that the social environment itself strongly affects ageing rate.},
  author       = {Schrempf, Alexandra and Cremer, Sylvia and Heinze, Jürgen},
  journal      = {Journal of Evolutionary Biology},
  number       = {7},
  pages        = {1455 -- 1461},
  publisher    = {Wiley-Blackwell},
  title        = {{Social influence on age and reproduction reduced lifespan and fecundity in multi queen ant colonies}},
  doi          = {10.1111/j.1420-9101.2011.02278.x},
  volume       = {24},
  year         = {2011},
}

@article{3387,
  abstract     = {Background: Supertree methods combine overlapping input trees into a larger supertree. Here, I consider split-based supertree methods that first extract the split information of the input trees and subsequently combine this split information into a phylogeny. Well known split-based supertree methods are matrix representation with parsimony and matrix representation with compatibility. Combining input trees on the same taxon set, as in the consensus setting, is a well-studied task and it is thus desirable to generalize consensus methods to supertree methods. Results: Here, three variants of majority-rule (MR) supertrees that generalize majority-rule consensus trees are investigated. I provide simple formulas for computing the respective score for bifurcating input- and supertrees. These score computations, together with a heuristic tree search minmizing the scores, were implemented in the python program PluMiST (Plus- and Minus SuperTrees) available from http://www.cibiv.at/software/ plumist. The different MR methods were tested by simulation and on real data sets. The search heuristic was successful in combining compatible input trees. When combining incompatible input trees, especially one variant, MR(-) supertrees, performed well. Conclusions: The presented framework allows for an efficient score computation of three majority-rule supertree variants and input trees. I combined the score computation with a heuristic search over the supertree space. The implementation was tested by simulation and on real data sets and showed promising results. Especially the MR(-) variant seems to be a reasonable score for supertree reconstruction. Generalizing these computations to multifurcating trees is an open problem, which may be tackled using this framework.},
  author       = {Kupczok, Anne},
  journal      = {BMC Evolutionary Biology},
  number       = {205},
  publisher    = {BioMed Central},
  title        = {{Split based computation of majority rule supertrees}},
  doi          = {10.1186/1471-2148-11-205},
  volume       = {11},
  year         = {2011},
}

@article{3388,
  abstract     = {Background: Fragmentation of terrestrial ecosystems has had detrimental effects on metapopulations of habitat specialists. Maculinea butterflies have been particularly affected because of their specialized lifecycles, requiring both specific food-plants and host-ants. However, the interaction between dispersal, effective population size, and long-term genetic erosion of these endangered butterflies remains unknown. Using non-destructive sampling, we investigated the genetic diversity of the last extant population of M. arion in Denmark, which experienced critically low numbers in the 1980s. Results: Using nine microsatellite markers, we show that the population is genetically impoverished compared to nearby populations in Sweden, but less so than monitoring programs suggested. Ten additional short repeat microsatellites were used to reconstruct changes in genetic diversity and population structure over the last 77 years from museum specimens. We also tested amplification efficiency in such historical samples as a function of repeat length and sample age. Low population numbers in the 1980s did not affect genetic diversity, but considerable turnover of alleles has characterized this population throughout the time-span of our analysis. Conclusions: Our results suggest that M. arion is less sensitive to genetic erosion via population bottlenecks than previously thought, and that managing clusters of high quality habitat may be key for long-term conservation.},
  author       = {Ugelvig, Line V and Nielsen, Per and Boomsma, Jacobus and Nash, David},
  journal      = {BMC Evolutionary Biology},
  number       = {201},
  publisher    = {BioMed Central},
  title        = {{Reconstructing eight decades of genetic variation in an isolated Danish population of the large blue butterfly Maculinea arion}},
  doi          = {10.1186/1471-2148-11-201},
  volume       = {11},
  year         = {2011},
}

@article{3389,
  abstract     = {Kernel canonical correlation analysis (KCCA) is a general technique for subspace learning that incorporates principal components analysis (PCA) and Fisher linear discriminant analysis (LDA) as special cases. By finding directions that maximize correlation, KCCA learns representations that are more closely tied to the underlying process that generates the data and can ignore high-variance noise directions. However, for data where acquisition in one or more modalities is expensive or otherwise limited, KCCA may suffer from small sample effects. We propose to use semi-supervised Laplacian regularization to utilize data that are present in only one modality. This approach is able to find highly correlated directions that also lie along the data manifold, resulting in a more robust estimate of correlated subspaces. Functional magnetic resonance imaging (fMRI) acquired data are naturally amenable to subspace techniques as data are well aligned. fMRI data of the human brain are a particularly interesting candidate. In this study we implemented various supervised and semi-supervised versions of KCCA on human fMRI data, with regression to single and multi-variate labels (corresponding to video content subjects viewed during the image acquisition). In each variate condition, the semi-supervised variants of KCCA performed better than the supervised variants, including a supervised variant with Laplacian regularization. We additionally analyze the weights learned by the regression in order to infer brain regions that are important to different types of visual processing.},
  author       = {Blaschko, Matthew and Shelton, Jacquelyn and Bartels, Andreas and Lampert, Christoph and Gretton, Arthur},
  journal      = {Pattern Recognition Letters},
  number       = {11},
  pages        = {1572 -- 1583},
  publisher    = {Elsevier},
  title        = {{Semi supervised kernel canonical correlation analysis with application to human fMRI}},
  doi          = {10.1016/j.patrec.2011.02.011},
  volume       = {32},
  year         = {2011},
}

