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1 |
Material Type: Article
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Multiagent cooperation and competition with deep reinforcement learningPloS one, 2017-04, Vol.12 (4), p.e0172395-e0172395 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Tampuu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Tampuu et al 2017 Tampuu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0172395 ;PMID: 28380078Full text available |
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Material Type: Article
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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequencesPLoS computational biology, 2019-06, Vol.15 (6), p.e1007129 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Lee et al 2019 Lee et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1007129 ;PMID: 31199797Full text available |
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Material Type: Article
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SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq DataPloS one, 2016-06, Vol.11 (6), p.e0157022-e0157022 [Peer Reviewed Journal]COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Varet et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;2016 Varet et al 2016 Varet et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0157022 ;PMID: 27280887Full text available |
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Material Type: Article
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Machine and deep learning meet genome-scale metabolic modelingPLoS computational biology, 2019-07, Vol.15 (7), p.e1007084-e1007084 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Zampieri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Zampieri et al 2019 Zampieri et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1007084 ;PMID: 31295267Full text available |
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Material Type: Article
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Discovering health topics in social media using topic modelsPloS one, 2014-08, Vol.9 (8), p.e103408-e103408 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Paul, Dredze. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Paul, Dredze 2014 Paul, Dredze ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0103408 ;PMID: 25084530Full text available |
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Material Type: Article
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Chaste: an open source C++ library for computational physiology and biologyPLoS computational biology, 2013-03, Vol.9 (3), p.e1002970-e1002970 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;Distributed under a Creative Commons Attribution 4.0 International License ;2013 Mirams et al 2013 Mirams et al ;2013 Mirams et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Mirams GR, Arthurs CJ, Bernabeu MO, Bordas R, Cooper J, et al. (2013) Chaste: An Open Source C++ Library for Computational Physiology and Biology. PLoS Comput Biol 9(3): e1002970. doi:10.1371/journal.pcbi.1002970 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1002970 ;PMID: 23516352Full text available |
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Material Type: Article
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iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid compositionPloS one, 2014-09, Vol.9 (9), p.e106691-e106691 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Liu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Liu et al 2014 Liu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0106691 ;PMID: 25184541Full text available |
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Material Type: Article
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Effective injury forecasting in soccer with GPS training data and machine learningPloS one, 2018-07, Vol.13 (7), p.e0201264-e0201264 [Peer Reviewed Journal]COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Rossi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Rossi et al 2018 Rossi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0201264 ;PMID: 30044858Full text available |
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Material Type: Article
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iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid compositionPloS one, 2013-02, Vol.8 (2), p.e55844-e55844 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Xu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Xu et al 2013 Xu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0055844 ;PMID: 23409062Full text available |
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Material Type: Article
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Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomyPloS one, 2013-06, Vol.8 (6), p.e66855-e66855 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;2013 Erho et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Erho et al 2013 Erho et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0066855 ;PMID: 23826159Full text available |
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Material Type: Article
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Comparing individual-based approaches to modelling the self-organization of multicellular tissuesPLoS computational biology, 2017-02, Vol.13 (2), p.e1005387-e1005387 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Osborne JM, Fletcher AG, Pitt-Francis JM, Maini PK, Gavaghan DJ (2017) Comparing individual-based approaches to modelling the self-organization of multicellular tissues. PLoS Comput Biol 13(2): e1005387. doi:10.1371/journal.pcbi.1005387 ;2017 Osborne et al 2017 Osborne et al ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Osborne JM, Fletcher AG, Pitt-Francis JM, Maini PK, Gavaghan DJ (2017) Comparing individual-based approaches to modelling the self-organization of multicellular tissues. PLoS Comput Biol 13(2): e1005387. doi:10.1371/journal.pcbi.1005387 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005387 ;PMID: 28192427Full text available |
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Material Type: Article
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Structural identifiability of systems biology models: a critical comparison of methodsPloS one, 2011-11, Vol.6 (11), p.e27755-e27755 [Peer Reviewed Journal]COPYRIGHT 2011 Public Library of Science ;COPYRIGHT 2011 Public Library of Science ;2011 Chis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Chis et al. 2011 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0027755 ;PMID: 22132135Full text available |
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Material Type: Article
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Accelerating protein docking in ZDOCK using an advanced 3D convolution libraryPloS one, 2011-09, Vol.6 (9), p.e24657-e24657 [Peer Reviewed Journal]COPYRIGHT 2011 Public Library of Science ;COPYRIGHT 2011 Public Library of Science ;2011 Pierce et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Pierce et al. 2011 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0024657 ;PMID: 21949741Full text available |
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Material Type: Article
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Nodal dynamics, not degree distributions, determine the structural controllability of complex networksPloS one, 2012-06, Vol.7 (6), p.e38398-e38398 [Peer Reviewed Journal]COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;2012 Cowan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Cowan et al. 2012 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0038398 ;PMID: 22761682Full text available |
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Material Type: Article
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Earthquake prediction model using support vector regressor and hybrid neural networksPloS one, 2018-07, Vol.13 (7), p.e0199004-e0199004 [Peer Reviewed Journal]COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Asim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Asim et al 2018 Asim et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0199004 ;PMID: 29975687Full text available |
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Material Type: Article
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Topological data analysis of biological aggregation modelsPloS one, 2015-05, Vol.10 (5), p.e0126383-e0126383 [Peer Reviewed Journal]COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Topaz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Topaz et al 2015 Topaz et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0126383 ;PMID: 25970184Full text available |
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Material Type: Article
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Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical propertiesPloS one, 2013-04, Vol.8 (4), p.e61318 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;2013 Menden et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Menden et al 2013 Menden et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0061318 ;PMID: 23646105Full text available |
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Material Type: Article
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Improved method for linear B-cell epitope prediction using antigen's primary sequencePloS one, 2013-05, Vol.8 (5), p.e62216-e62216 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Singh et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Singh et al 2013 Singh et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0062216 ;PMID: 23667458Full text available |
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Material Type: Article
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Simultaneously uncovering the patterns of brain regions involved in different story reading subprocessesPloS one, 2014-11, Vol.9 (11), p.e112575-e112575 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Wehbe et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Wehbe et al 2014 Wehbe et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0112575 ;PMID: 25426840Full text available |
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Material Type: Article
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The role of balanced training and testing data sets for binary classifiers in bioinformaticsPloS one, 2013-07, Vol.8 (7), p.e67863-e67863 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Wei, Dunbrack. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Wei, Dunbrack 2013 Wei, Dunbrack ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0067863 ;PMID: 23874456Full text available |