Literature DB >> 34217153

Machine Learning Challenges in Pharmacogenomic Research.

Wei-Qi Wei1, Juan Zhao1, Dan M Roden1,2,3, Josh F Peterson1,4.   

Abstract

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Mesh：

Year:  2021        PMID： 34217153      PMCID： PMC8376798          DOI： 10.1002/cpt.2329

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN： 0009-9236            Impact factor:   6.903


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  10 in total

1.  Mastering the game of Go with deep neural networks and tree search.

Authors:  David Silver; Aja Huang; Chris J Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2016-01-28       Impact factor: 49.962

2.  Machine Learning and the Profession of Medicine.

Authors:  Alison M Darcy; Alan K Louie; Laura Weiss Roberts
Journal:  JAMA       Date:  2016-02-09       Impact factor: 56.272

Review 3.  Machine Learning in Medicine.

Authors:  Alvin Rajkomar; Jeffrey Dean; Isaac Kohane
Journal:  N Engl J Med       Date:  2019-04-04       Impact factor: 91.245

4.  Individualized sepsis treatment using reinforcement learning.

Authors:  Suchi Saria
Journal:  Nat Med       Date:  2018-11       Impact factor: 53.440

5.  Improved protein structure prediction using potentials from deep learning.

Authors:  Andrew W Senior; Richard Evans; John Jumper; James Kirkpatrick; Laurent Sifre; Tim Green; Chongli Qin; Augustin Žídek; Alexander W R Nelson; Alex Bridgland; Hugo Penedones; Stig Petersen; Karen Simonyan; Steve Crossan; Pushmeet Kohli; David T Jones; David Silver; Koray Kavukcuoglu; Demis Hassabis
Journal:  Nature       Date:  2020-01-15       Impact factor: 49.962

Review 6.  Pharmacogenomics.

Authors:  Dan M Roden; Howard L McLeod; Mary V Relling; Marc S Williams; George A Mensah; Josh F Peterson; Sara L Van Driest
Journal:  Lancet       Date:  2019-08-05       Impact factor: 79.321

Review 7.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.

Authors:  Nicole Gray Weiskopf; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2012-06-25       Impact factor: 4.497

8.  Extracting research-quality phenotypes from electronic health records to support precision medicine.

Authors:  Wei-Qi Wei; Joshua C Denny
Journal:  Genome Med       Date:  2015-04-30       Impact factor: 11.117

9.  Multitask learning improves prediction of cancer drug sensitivity.

Authors:  Han Yuan; Ivan Paskov; Hristo Paskov; Alvaro J González; Christina S Leslie
Journal:  Sci Rep       Date:  2016-08-23       Impact factor: 4.379

10.  Pharmacogenomics-Driven Prediction of Antidepressant Treatment Outcomes: A Machine-Learning Approach With Multi-trial Replication.

Authors:  Arjun P Athreya; Drew Neavin; Tania Carrillo-Roa; Michelle Skime; Joanna Biernacka; Mark A Frye; A John Rush; Liewei Wang; Elisabeth B Binder; Ravishankar K Iyer; Richard M Weinshilboum; William V Bobo
Journal:  Clin Pharmacol Ther       Date:  2019-06-29       Impact factor: 6.875
  10 in total

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