Literature DB >> 32045490

Machine Learning for Cancer Drug Combination.

Ziyan Wang1, Hongyang Li1, Yuanfang Guan1.   

Abstract

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Mesh：

Year:  2020        PMID： 32045490      PMCID： PMC8141105          DOI： 10.1002/cpt.1773

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN： 0009-9236            Impact factor:   6.875


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  5 in total

1.  An Unbiased Oncology Compound Screen to Identify Novel Combination Strategies.

Authors:  Jennifer O'Neil; Yair Benita; Igor Feldman; Melissa Chenard; Brian Roberts; Yaping Liu; Jing Li; Astrid Kral; Serguei Lejnine; Andrey Loboda; William Arthur; Razvan Cristescu; Brian B Haines; Christopher Winter; Theresa Zhang; Andrew Bloecher; Stuart D Shumway
Journal:  Mol Cancer Ther       Date:  2016-03-16       Impact factor: 6.261

2.  Network Propagation Predicts Drug Synergy in Cancers.

Authors:  Hongyang Li; Tingyang Li; Daniel Quang; Yuanfang Guan
Journal:  Cancer Res       Date:  2018-07-27       Impact factor: 12.701

3.  DeepSynergy: predicting anti-cancer drug synergy with Deep Learning.

Authors:  Kristina Preuer; Richard P I Lewis; Sepp Hochreiter; Andreas Bender; Krishna C Bulusu; Günter Klambauer
Journal:  Bioinformatics       Date:  2018-05-01       Impact factor: 6.937

4.  Network-based prediction of drug combinations.

Authors:  Feixiong Cheng; István A Kovács; Albert-László Barabási
Journal:  Nat Commun       Date:  2019-03-13       Impact factor: 14.919

5.  Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes.

Authors:  Kelly E Regan-Fendt; Jielin Xu; Mallory DiVincenzo; Megan C Duggan; Reena Shakya; Ryejung Na; William E Carson; Philip R O Payne; Fuhai Li
Journal:  NPJ Syst Biol Appl       Date:  2019-02-26
  5 in total
  3 in total

1.  SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning.

Authors:  António J Preto; Pedro Matos-Filipe; Joana Mourão; Irina S Moreira
Journal:  Gigascience       Date:  2022-09-26       Impact factor: 7.658

2.  A cross-study analysis of drug response prediction in cancer cell lines.

Authors:  Fangfang Xia; Jonathan Allen; Prasanna Balaprakash; Thomas Brettin; Cristina Garcia-Cardona; Austin Clyde; Judith Cohn; James Doroshow; Xiaotian Duan; Veronika Dubinkina; Yvonne Evrard; Ya Ju Fan; Jason Gans; Stewart He; Pinyi Lu; Sergei Maslov; Alexander Partin; Maulik Shukla; Eric Stahlberg; Justin M Wozniak; Hyunseung Yoo; George Zaki; Yitan Zhu; Rick Stevens
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

Review 3.  Representation of molecules for drug response prediction.

Authors:  Xin An; Xi Chen; Daiyao Yi; Hongyang Li; Yuanfang Guan
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 13.994
  3 in total

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