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Results 1 - 20 of 3,000  for All Library Resources

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1
Multiagent cooperation and competition with deep reinforcement learning
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Multiagent cooperation and competition with deep reinforcement learning

PloS 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: 28380078

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2
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

PLoS 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: 31199797

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3
SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data
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SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data

PloS 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: 27280887

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4
Machine and deep learning meet genome-scale metabolic modeling
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Machine and deep learning meet genome-scale metabolic modeling

PLoS 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: 31295267

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5
Discovering health topics in social media using topic models
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Discovering health topics in social media using topic models

PloS 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: 25084530

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6
Chaste: an open source C++ library for computational physiology and biology
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Chaste: an open source C++ library for computational physiology and biology

PLoS 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: 23516352

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7
iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition
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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 composition

PloS 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: 25184541

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8
Effective injury forecasting in soccer with GPS training data and machine learning
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Effective injury forecasting in soccer with GPS training data and machine learning

PloS 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: 30044858

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9
iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition
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iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition

PloS 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: 23409062

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10
Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy
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Article
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Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy

PloS 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: 23826159

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11
Comparing individual-based approaches to modelling the self-organization of multicellular tissues
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Article
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Comparing individual-based approaches to modelling the self-organization of multicellular tissues

PLoS 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: 28192427

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12
Structural identifiability of systems biology models: a critical comparison of methods
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Article
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Structural identifiability of systems biology models: a critical comparison of methods

PloS 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: 22132135

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13
Accelerating protein docking in ZDOCK using an advanced 3D convolution library
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Accelerating protein docking in ZDOCK using an advanced 3D convolution library

PloS 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: 21949741

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14
Nodal dynamics, not degree distributions, determine the structural controllability of complex networks
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Nodal dynamics, not degree distributions, determine the structural controllability of complex networks

PloS 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: 22761682

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15
Earthquake prediction model using support vector regressor and hybrid neural networks
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Article
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Earthquake prediction model using support vector regressor and hybrid neural networks

PloS 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: 29975687

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16
Topological data analysis of biological aggregation models
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Topological data analysis of biological aggregation models

PloS 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: 25970184

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17
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
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Article
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Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties

PloS 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: 23646105

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18
Improved method for linear B-cell epitope prediction using antigen's primary sequence
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Improved method for linear B-cell epitope prediction using antigen's primary sequence

PloS 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: 23667458

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19
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses
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Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses

PloS 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: 25426840

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20
The role of balanced training and testing data sets for binary classifiers in bioinformatics
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The role of balanced training and testing data sets for binary classifiers in bioinformatics

PloS 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: 23874456

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