Showing 61 - 80 results of 2,423 for search '"PLoS Computational Biology"', query time: 0.13s Refine Results
  1. 61
    A kinetic model of iron trafficking in growing Saccharomyces cerevisiae cells; applying mathematical methods to minimize the problem of sparse data and generate viable autoregulatory mechanisms.

    A kinetic model of iron trafficking in growing Saccharomyces cerevisiae cells; applying mathematical methods to minimize the problem of sparse data and generate viable autoregulato... by Shantanu Thorat, Jay R Walton, Paul A Lindahl

    Published 2023-12-01
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  2. 62
    Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates.

    Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates. by Andreas Tuerk, Gregor Wiktorin, Serhat Güler

    Published 2017-05-01
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  3. 63
    Circuits with broken fibration symmetries perform core logic computations in biological networks.

    Circuits with broken fibration symmetries perform core logic computations in biological networks. by Ian Leifer, Flaviano Morone, Saulo D S Reis, José S Andrade, Mariano Sigman, Hernán A Makse

    Published 2020-06-01
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  4. 64
    Ten simple rules for successfully completing a graduate degree in Latin America.

    Ten simple rules for successfully completing a graduate degree in Latin America. by Ernesto Ruelas Inzunza, Gabriela I Salazar-Rivera, Magdiel Láinez, María Guadalupe Ruiz-Gómez, Carlo A Domínguez-Eusebio, Griselda Cristóbal-Sánchez, Issaac A Teodosio Faustino, Edel Pérez-López, Meagan L Campbell, Marcus Vinicius Merfa, Ivonne Tatiana Latorre Beltrán, Fernanda Armas, Claudio Mota-Vargas

    Published 2017-09-01
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  5. 65
    Modeling and dynamics of the inward-facing state of a Na+/Cl- dependent neurotransmitter transporter homologue.

    Modeling and dynamics of the inward-facing state of a Na+/Cl- dependent neurotransmitter transporter homologue. by Saher Afshan Shaikh, Emad Tajkhorshid

    Published 2010-08-01
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  6. 66
    Unsupervised learning of perceptual feature combinations.

    Unsupervised learning of perceptual feature combinations. by Minija Tamosiunaite, Christian Tetzlaff, Florentin Wörgötter

    Published 2024-03-01
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  7. 67
    Spatio-temporal Dynamics and Mechanisms of Stress Granule Assembly.

    Spatio-temporal Dynamics and Mechanisms of Stress Granule Assembly. by Daisuke Ohshima, Kyoko Arimoto-Matsuzaki, Taichiro Tomida, Mutsuhiro Takekawa, Kazuhisa Ichikawa

    Published 2015-06-01
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  8. 68
    scAmpi-A versatile pipeline for single-cell RNA-seq analysis from basics to clinics.

    scAmpi-A versatile pipeline for single-cell RNA-seq analysis from basics to clinics. by Anne Bertolini, Michael Prummer, Mustafa Anil Tuncel, Ulrike Menzel, María Lourdes Rosano-González, Jack Kuipers, Daniel Johannes Stekhoven, Tumor Profiler consortium, Niko Beerenwinkel, Franziska Singer

    Published 2022-06-01
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  9. 69
    Comparing T cell receptor repertoires using optimal transport.

    Comparing T cell receptor repertoires using optimal transport. by Branden J Olson, Stefan A Schattgen, Paul G Thomas, Philip Bradley, Frederick A Matsen Iv

    Published 2022-12-01
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  10. 70
    Polarization and migration in the zebrafish posterior lateral line system.

    Polarization and migration in the zebrafish posterior lateral line system. by Hildur Knutsdottir, Cole Zmurchok, Dhananjay Bhaskar, Eirikur Palsson, Damian Dalle Nogare, Ajay B Chitnis, Leah Edelstein-Keshet

    Published 2017-04-01
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  11. 71
    Mapping the structural and dynamical features of kinesin motor domains.

    Mapping the structural and dynamical features of kinesin motor domains. by Guido Scarabelli, Barry J Grant

    Published 2013-01-01
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  12. 72
    adaPop: Bayesian inference of dependent population dynamics in coalescent models.

    adaPop: Bayesian inference of dependent population dynamics in coalescent models. by Lorenzo Cappello, Jaehee Kim, Julia A Palacios

    Published 2023-03-01
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  13. 73
    A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth.

    A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth. by Keith B Godfrey, Stephen J Eglen, Nicholas V Swindale

    Published 2009-12-01
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  14. 74
    Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules.

    Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules. by Gregory R Johnson, Jieyue Li, Aabid Shariff, Gustavo K Rohde, Robert F Murphy

    Published 2015-12-01
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  15. 75
    Towards a more general understanding of the algorithmic utility of recurrent connections.

    Towards a more general understanding of the algorithmic utility of recurrent connections. by Brett W Larsen, Shaul Druckmann

    Published 2022-06-01
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  16. 76
    Ensemble inference of unobserved infections in networks using partial observations.

    Ensemble inference of unobserved infections in networks using partial observations. by Renquan Zhang, Jilei Tai, Sen Pei

    Published 2023-08-01
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  17. 77
    What is the nature of motor adaptation to dynamic perturbations?

    What is the nature of motor adaptation to dynamic perturbations? by Etienne Moullet, Agnès Roby-Brami, Emmanuel Guigon

    Published 2022-08-01
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  18. 78
    Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models.

    Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models. by Christian Tönsing, Bernhard Steiert, Jens Timmer, Clemens Kreutz

    Published 2023-09-01
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  19. 79
    Critical dynamics in the evolution of stochastic strategies for the iterated prisoner's dilemma.

    Critical dynamics in the evolution of stochastic strategies for the iterated prisoner's dilemma. by Dimitris Iliopoulos, Arend Hintze, Christoph Adami

    Published 2010-10-01
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  20. 80
    RNAcontext: a new method for learning the sequence and structure binding preferences of RNA-binding proteins.

    RNAcontext: a new method for learning the sequence and structure binding preferences of RNA-binding proteins. by Hilal Kazan, Debashish Ray, Esther T Chan, Timothy R Hughes, Quaid Morris

    Published 2010-07-01
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