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Results 1 - 20 of 2,680  for All Library Resources

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1
Analysis of co-authorship networks among Brazilian graduate programs in computer science
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Analysis of co-authorship networks among Brazilian graduate programs in computer science

PloS one, 2022-01, Vol.17 (1), p.e0261200-e0261200 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Nunes da Silva 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. ;2022 Nunes da Silva et al 2022 Nunes da Silva et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0261200 ;PMID: 35041687

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2
Revealing the queer-spectrum in STEM through robust demographic data collection in undergraduate engineering and computer science courses at four institutions
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Revealing the queer-spectrum in STEM through robust demographic data collection in undergraduate engineering and computer science courses at four institutions

PloS one, 2022-03, Vol.17 (3), p.e0264267-e0264267 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Casper 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. ;2022 Casper et al 2022 Casper et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0264267 ;PMID: 35271597

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3
Pattern recognition software and techniques for biological image analysis
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Pattern recognition software and techniques for biological image analysis

PLoS computational biology, 2010-11, Vol.6 (11), p.e1000974-e1000974 [Peer Reviewed Journal]

COPYRIGHT 2010 Public Library of Science ;COPYRIGHT 2010 Public Library of Science ;This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 2010 ;2010 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: Citation: Shamir L, Delaney JD, Orlov N, Eckley DM, Goldberg IG (2010) Pattern Recognition Software and Techniques for Biological Image Analysis. PLoS Comput Biol 6(11): e1000974. doi:10.1371/journal.pcbi.1000974 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1000974 ;PMID: 21124870

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4
Statistical and Machine Learning forecasting methods: Concerns and ways forward
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Statistical and Machine Learning forecasting methods: Concerns and ways forward

PloS one, 2018-03, Vol.13 (3), p.e0194889-e0194889 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Makridakis 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 Makridakis et al 2018 Makridakis et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0194889 ;PMID: 29584784

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5
The gender gap in science: How long until women are equally represented?
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The gender gap in science: How long until women are equally represented?

PLoS biology, 2018-04, Vol.16 (4), p.e2004956-e2004956 [Peer Reviewed Journal]

2018 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: Holman L, Stuart-Fox D, Hauser CE (2018) The gender gap in science: How long until women are equally represented? PLoS Biol 16(4): e2004956. https://doi.org/10.1371/journal.pbio.2004956 ;2018 Holman et al 2018 Holman et al ;2018 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: Holman L, Stuart-Fox D, Hauser CE (2018) The gender gap in science: How long until women are equally represented? PLoS Biol 16(4): e2004956. https://doi.org/10.1371/journal.pbio.2004956 ;ISSN: 1545-7885 ;ISSN: 1544-9173 ;EISSN: 1545-7885 ;DOI: 10.1371/journal.pbio.2004956 ;PMID: 29672508

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6
ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software
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ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software

PloS one, 2014-06, Vol.9 (6), p.e98679-e98679 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Jacomy 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 ;2014 Jacomy et al 2014 Jacomy et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0098679 ;PMID: 24914678

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7
MUMmer4: A fast and versatile genome alignment system
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MUMmer4: A fast and versatile genome alignment system

PLoS computational biology, 2018-01, Vol.14 (1), p.e1005944-e1005944 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;2018 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: Marçais G, Delcher AL, Phillippy AM, Coston R, Salzberg SL, Zimin A (2018) MUMmer4: A fast and versatile genome alignment system. PLoS Comput Biol 14(1): e1005944. https://doi.org/10.1371/journal.pcbi.1005944 ;2018 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: Marçais G, Delcher AL, Phillippy AM, Coston R, Salzberg SL, Zimin A (2018) MUMmer4: A fast and versatile genome alignment system. PLoS Comput Biol 14(1): e1005944. https://doi.org/10.1371/journal.pcbi.1005944 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005944 ;PMID: 29373581

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8
RNA-Seq differential expression analysis: An extended review and a software tool
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RNA-Seq differential expression analysis: An extended review and a software tool

PloS one, 2017-12, Vol.12 (12), p.e0190152-e0190152 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Costa-Silva 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 Costa-Silva et al 2017 Costa-Silva et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0190152 ;PMID: 29267363

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9
Powerlaw: a Python package for analysis of heavy-tailed distributions
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Powerlaw: a Python package for analysis of heavy-tailed distributions

PloS one, 2014-01, Vol.9 (1), p.e85777-e85777 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0085777 ;PMID: 24489671

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10
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

PLoS medicine, 2018-11, Vol.15 (11), p.e1002686-e1002686 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Rajpurkar 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 Rajpurkar et al 2018 Rajpurkar et al ;ISSN: 1549-1676 ;ISSN: 1549-1277 ;EISSN: 1549-1676 ;DOI: 10.1371/journal.pmed.1002686 ;PMID: 30457988

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11
Integrating Hi-C links with assembly graphs for chromosome-scale assembly
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Integrating Hi-C links with assembly graphs for chromosome-scale assembly

PLoS computational biology, 2019-08, Vol.15 (8), p.e1007273-e1007273 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1007273 ;PMID: 31433799

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12
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
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Article
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MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

PloS one, 2017-09, Vol.12 (9), p.e0184661-e0184661 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Esteban 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 Esteban et al 2017 Esteban et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0184661 ;PMID: 28945803

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13
Reproducible big data science: A case study in continuous FAIRness
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Reproducible big data science: A case study in continuous FAIRness

PloS one, 2019-04, Vol.14 (4), p.e0213013-e0213013 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Madduri 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 Madduri et al 2019 Madduri et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0213013 ;PMID: 30973881

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14
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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15
Software for computing and annotating genomic ranges
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Software for computing and annotating genomic ranges

PLoS computational biology, 2013-08, Vol.9 (8), p.e1003118-e1003118 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Lawrence et al 2013 Lawrence et al ;2013 Lawrence 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: Lawrence M, Huber W, Pagès H, Aboyoun P, Carlson M, et al. (2013) Software for Computing and Annotating Genomic Ranges. PLoS Comput Biol 9(8): e1003118. doi:10.1371/journal.pcbi.1003118 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1003118 ;PMID: 23950696

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16
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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17
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

PLoS medicine, 2018-11, Vol.15 (11), p.e1002699-e1002699 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Bien 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 Bien et al 2018 Bien et al ;ISSN: 1549-1676 ;ISSN: 1549-1277 ;EISSN: 1549-1676 ;DOI: 10.1371/journal.pmed.1002699 ;PMID: 30481176

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18
phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data
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phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data

PloS one, 2013-04, Vol.8 (4), p.e61217-e61217 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 McMurdie, Holmes. 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 McMurdie, Holmes 2013 McMurdie, Holmes ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0061217 ;PMID: 23630581

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19
A methodology for adaptable and robust ecosystem services assessment
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A methodology for adaptable and robust ecosystem services assessment

PloS one, 2014-03, Vol.9 (3), p.e91001 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0091001 ;PMID: 24625496

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20
Finding statistically significant communities in networks
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Finding statistically significant communities in networks

PloS one, 2011-04, Vol.6 (4), p.e18961-e18961 [Peer Reviewed Journal]

COPYRIGHT 2011 Public Library of Science ;COPYRIGHT 2011 Public Library of Science ;Copyright Public Library of Science Apr 2011 ;Lancichinetti et al. 2011 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0018961 ;PMID: 21559480

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