Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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Utilizing graph machine learning within drug discovery and developmentBriefings in bioinformatics, 2021-11, Vol.22 (6) [Peer Reviewed Journal]The Author(s) 2021. Published by Oxford University Press. ;The Author(s) 2021. Published by Oxford University Press. 2021 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbab159 ;PMID: 34013350Full text available |
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2 |
Material Type: Article
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Empirical comparison and analysis of web-based cell-penetrating peptide prediction toolsBriefings in bioinformatics, 2020-03, Vol.21 (2), p.408-420 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bby124 ;PMID: 30649170Full text available |
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3 |
Material Type: Article
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Beware of the generic machine learning-based scoring functions in structure-based virtual screeningBriefings in bioinformatics, 2021-05, Vol.22 (3) [Peer Reviewed Journal]ISSN: 1477-4054 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa070Full text available |
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4 |
Material Type: Article
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MHCpLogics: an interactive machine learning-based tool for unsupervised data visualization and cluster analysis of immunopeptidomesBriefings in bioinformatics, 2024-01, Vol.25 (2) [Peer Reviewed Journal]The Author(s) 2024. Published by Oxford University Press. 2024 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbae087Digital Resources/Online E-Resources |
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5 |
Material Type: Article
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Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functionsBriefings in bioinformatics, 2021-01, Vol.22 (1), p.497-514 [Peer Reviewed Journal]The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020 ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1477-4054 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz173 ;PMID: 31982914Full text available |
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6 |
Material Type: Article
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Auto-Kla: a novel web server to discriminate lysine lactylation sites using automated machine learningBriefings in bioinformatics, 2023-03, Vol.24 (2) [Peer Reviewed Journal]The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2023 ;The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbad070 ;PMID: 36869843Full text available |
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7 |
Material Type: Article
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Graph convolutional networks for computational drug development and discoveryBriefings in bioinformatics, 2020-05, Vol.21 (3), p.919-935 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz042 ;PMID: 31155636Full text available |
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8 |
Material Type: Article
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A comprehensive review and comparison of existing computational methods for intrinsically disordered protein and region predictionBriefings in bioinformatics, 2019-01, Vol.20 (1), p.330-346 [Peer Reviewed Journal]The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 ;The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbx126 ;PMID: 30657889Full text available |
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9 |
Material Type: Article
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Deep learning for healthcare: review, opportunities and challengesBriefings in bioinformatics, 2018-11, Vol.19 (6), p.1236-1246 [Peer Reviewed Journal]The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 ;The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbx044 ;PMID: 28481991Full text available |
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10 |
Material Type: Article
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A survey on adverse drug reaction studies: data, tasks and machine learning methodsBriefings in bioinformatics, 2021-01, Vol.22 (1), p.164-177 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz140 ;PMID: 31838499Full text available |
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11 |
Material Type: Article
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Deep learning in bioinformaticsBriefings in bioinformatics, 2017-09, Vol.18 (5), p.851-869 [Peer Reviewed Journal]The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016 ;The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbw068 ;PMID: 27473064Full text available |
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12 |
Material Type: Article
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Positive-unlabeled learning in bioinformatics and computational biology: a brief reviewBriefings in bioinformatics, 2022-01, Vol.23 (1) [Peer Reviewed Journal]The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2021 ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbab461 ;PMID: 34729589Full text available |
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13 |
Material Type: Article
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Trends in the development of miRNA bioinformatics toolsBriefings in bioinformatics, 2019-09, Vol.20 (5), p.1836-1852 [Peer Reviewed Journal]The Author(s) 2018. Published by Oxford University Press. 2018 ;The Author(s) 2018. Published by Oxford University Press. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bby054 ;PMID: 29982332Full text available |
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14 |
Material Type: Article
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Evaluation of variable selection methods for random forests and omics data setsBriefings in bioinformatics, 2019-03, Vol.20 (2), p.492-503 [Peer Reviewed Journal]The Author 2017. Published by Oxford University Press. 2017 ;The Author 2017. Published by Oxford University Press. ;ISSN: 1477-4054 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbx124 ;PMID: 29045534Full text available |
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15 |
Material Type: Article
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Machine learning approaches and databases for prediction of drug–target interaction: a survey paperBriefings in bioinformatics, 2021-01, Vol.22 (1), p.247-269 [Peer Reviewed Journal]The Author(s) 2020. Published by Oxford University Press. 2021 ;The Author(s) 2020. Published by Oxford University Press. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz157 ;PMID: 31950972Full text available |
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16 |
Material Type: Article
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AntiCP 2.0: an updated model for predicting anticancer peptidesBriefings in bioinformatics, 2021-05, Vol.22 (3) [Peer Reviewed Journal]ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa153Full text available |
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17 |
Material Type: Article
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Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databasesBriefings in bioinformatics, 2019-09, Vol.20 (5), p.1878-1912 [Peer Reviewed Journal]The Author(s) 2018. Published by Oxford University Press. 2018 ;The Author(s) 2018. Published by Oxford University Press. ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bby061 ;PMID: 30084866Full text available |
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18 |
Material Type: Article
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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence dataBriefings in bioinformatics, 2020-05, Vol.21 (3), p.1047-1057 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz041 ;PMID: 31067315Full text available |
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19 |
Material Type: Article
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A deep learning method for predicting metabolite–disease associations via graph neural networkBriefings in bioinformatics, 2022-07, Vol.23 (4) [Peer Reviewed Journal]The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2022 ;The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbac266Full text available |
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20 |
Material Type: Article
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ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptidesBriefings in bioinformatics, 2020-09, Vol.21 (5), p.1846-1855 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz088Full text available |