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References from Machine learning applications in drug development. Local targets link to admitted publications; unresolved targets remain external evidence.
Phase 0 trials: an industry perspective
10.1158/1078-0432.ccr-07-4586 · 2008 · External reference
10.7150/ijbs.24612
10.7150/ijbs.24612 · External reference
Changing R&D models in research-based pharmaceutical companies
10.1186/s12967-016-0838-4 · 2016 · External reference
10.1016/j.drudis.2012.05.007
10.1016/j.drudis.2012.05.007 · External reference
Failure of investigational drugs in late-stage clinical development and publication of trial results
10.1001/jamainternmed.2016.6008 · 2016 · External reference
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10.1093/biostatistics/kxx069
10.1093/biostatistics/kxx069 · External reference
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Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: a review
10.1016/j.conctc.2018.08.001 · 2018 · External reference
Orphan drug development: an economically viable strategy for biopharma R&D
10.1016/j.drudis.2012.02.005 · 2012 · External reference
10.1038/s41563-019-0338-z
10.1038/s41563-019-0338-z · External reference
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Advancing drug discovery via artificial intelligence
2019 · External reference
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10.1038/nrd.2017.226
10.1038/nrd.2017.226 · External reference
10.1101/gr.3851306
10.1101/gr.3851306 · External reference
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Computational approaches to drug repurposing and pharmacology
10.1002/wsbm.1337 · 2016 · External reference
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A review of connectivity map and computational approaches in pharmacogenomics
2017 · External reference
A systems-level framework for drug discovery identifies Csf1R as an anti-epileptic drug target
10.1038/s41467-018-06008-4 · 2018 · External reference
10.1021/acs.molpharmaceut.6b00248
10.1021/acs.molpharmaceut.6b00248 · External reference
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2004 · External reference
10.1016/j.drudis.2018.01.039
10.1016/j.drudis.2018.01.039 · External reference
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10.1093/biomet/25.3-4.285
10.1093/biomet/25.3-4.285 · External reference
Learning the distribution with largest mean: two bandit frameworks
10.1051/proc/201760114 · 2017 · External reference
10.1007/978-3-319-27926-8_29
10.1007/978-3-319-27926-8_29 · External reference
10.1007/978-3-319-51469-7_17
10.1007/978-3-319-51469-7_17 · 2016 · External reference
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
10.1109/tkde.2005.99 · 2005 · External reference
10.2139/ssrn.1679991
10.2139/ssrn.1679991 · External reference
Two decades of recommender systems at Amazon. com
10.1109/mic.2017.72 · 2017 · External reference
10.1145/1772690.1772758
10.1145/1772690.1772758 · External reference
10.1093/bib/bby061
10.1093/bib/bby061 · External reference
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
10.1016/j.drudis.2017.08.010 · 2017 · External reference
In silico prediction of novel therapeutic targets using gene–disease association data
10.1186/s12967-017-1285-6 · 2017 · External reference
10.1109/iscc.2017.8024547
10.1109/iscc.2017.8024547 · External reference
Using information from historical high-throughput screens to predict active compounds
10.1021/ci500190p · 2014 · External reference
Applications of machine learning in drug discovery and development
2019 · External reference
A primer on deep learning in genomics
2018 · External reference
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Bayesian optimization for accelerated drug discovery
2018 · External reference
10.1101/292177
10.1101/292177 · External reference
10.1126/science.aaz4593
10.1126/science.aaz4593 · External reference
10.1126/science.1248882
10.1126/science.1248882 · External reference
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10.1201/ebk1439825488
10.1201/ebk1439825488 · 2010 · External reference
Design of a Bayesian adaptive phase 2 proof-of-concept trial for BAN2401, a putative disease-modifying monoclonal antibody for the treatment of Alzheimer’s disease
2016 · External reference
10.1080/00031305.1987.10475458
10.1080/00031305.1987.10475458 · External reference
Some aspects of the sequential design of experiments
10.1090/s0002-9904-1952-09620-8 · 1952 · External reference
Asymptotically efficient adaptive allocation rules
10.1016/0196-8858(85)90002-8 · 1985 · External reference
10.1007/978-94-015-3711-7
10.1007/978-94-015-3711-7 · 1985 · External reference
Bandit processes and dynamic allocation indices
10.1111/j.2517-6161.1979.tb01068.x · 1979 · External reference
10.1016/b978-0-12-307502-4.50010-6
10.1016/b978-0-12-307502-4.50010-6 · 1982 · External reference
A single-sample multiple decision procedure for ranking means of normal populations with known variances
10.1214/aoms/1177728845 · 1954 · External reference
Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems
2006 · External reference
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Pure exploration in finitely-armed and continuous-armed bandits
10.1016/j.tcs.2010.12.059 · 2011 · External reference
Bandit strategies for ethical sequential allocation
1991 · External reference
The search for optimality in clinical trials
10.2307/1402871 · 1985 · External reference
Multi-armed bandit models for the optimal design of clinical trials: benefits and challenges
10.1214/14-sts504 · 2015 · External reference
Bandit strategies evaluated in the context of clinical trials in rare life-threatening diseases
10.1017/s0269964817000146 · 2018 · External reference
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Practical Bayesian adaptive randomisation in clinical trials
10.1016/j.ejca.2007.01.006 · 2007 · External reference
10.1038/nrd1927
10.1038/nrd1927 · External reference
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10.1093/bib/bbr005
10.1093/bib/bbr005 · External reference
Investigating drug repositioning opportunities in FDA drug labels through topic modeling. In BMC bioinformatics
2012 · External reference
10.1007/978-1-4939-0709-0_14
10.1007/978-1-4939-0709-0_14 · 2014 · External reference
10.1007/978-1-4939-3572-7_23
10.1007/978-1-4939-3572-7_23 · 2016 · External reference
10.1093/bib/bbr021
10.1093/bib/bbr021 · External reference
10.1002/bdrc.21096
10.1002/bdrc.21096 · External reference
10.1016/j.cell.2017.10.049
10.1016/j.cell.2017.10.049 · External reference
Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network
10.1016/j.ymeth.2018.06.001 · 2018 · External reference
Drug repositioning: a machine-learning approach through data integration
10.1186/1758-2946-5-30 · 2013 · External reference
The missing pieces of artificial intelligence in medicine
10.1016/j.tips.2019.06.001 · 2019 · External reference
10.1016/j.inffus.2018.09.012
10.1016/j.inffus.2018.09.012 · External reference
Open targets platform: new developments and updates two years on
10.1093/nar/gky1133 · 2018 · External reference
The comparative toxicogenomics database: update 2019
10.1093/nar/gky868 · 2018 · External reference
DisGeNET, a centralized repository of the genetic basis of human diseases
2017 · External reference
COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
10.1093/nar/gkq929 · 2010 · External reference
10.1093/dnares/dsl005
10.1093/dnares/dsl005 · External reference
10.1038/s41586-018-0579-z
10.1038/s41586-018-0579-z · External reference
10.1093/nar/gky1131
10.1093/nar/gky1131 · External reference
KEGG: new perspectives on genomes, pathways, diseases and drugs
10.1093/nar/gkw1092 · 2016 · External reference
Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems
10.1093/database/bav030 · 2015 · External reference
BioModels: ten-year anniversary
10.1093/nar/gku1181 · 2014 · External reference
10.1126/science.1132939
10.1126/science.1132939 · External reference
Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics
10.1093/nar/gkx1076 · 2017 · External reference
PROMISCUOUS: a database for network-based drug-repositioning
10.1093/nar/gkq1037 · 2010 · External reference
10.1038/sdata.2017.29
10.1038/sdata.2017.29 · External reference
10.1093/nar/gky092
10.1093/nar/gky092 · External reference
10.1093/nar/gkx1037
10.1093/nar/gkx1037 · External reference
The ChEMBL database in 2017
10.1093/nar/gkw1074 · 2016 · External reference
Why most gene expression signatures of tumors have not been useful in the clinic
10.1126/scitranslmed.3000313 · 2010 · External reference
An introduction to variable and feature selection
2003 · External reference
deepDR: a network-based deep learning approach to in silico drug repositioning
2019 · External reference
Deep learning for healthcare: review, opportunities and challenges
10.1093/bib/bbx044 · 2017 · External reference
Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
10.1186/s13059-016-1097-7 · 2016 · External reference
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10.3934/mbe.2016041
10.3934/mbe.2016041 · External reference
Genotype-dependent effects of dalcetrapib on cholesterol efflux and inflammation: concordance with clinical outcomes. Circulation: Cardiovascular
2016 · External reference
Pharma blockchains AI for drug development
10.1016/s0140-6736(19)31401-1 · 2019 · External reference
ksRepo: a generalized platform for computational drug repositioning
10.1186/s12859-016-0931-y · 2016 · External reference
Adaptive designs in clinical trials: why use them, and how to run and report them
10.1186/s12916-018-1017-7 · 2018 · External reference
