Genome-scale regression analysis reveals a linear relationship for promoters and enhancers after combinatorial drug treatment

Author:

Rapakoulia Trisevgeni12,Gao Xin12,Huang Yi3,de Hoon Michiel4,Okada-Hatakeyama Mariko56,Suzuki Harukazu4,Arner Erik3

Affiliation:

1. Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

2. Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

3. Molecular Network Control Genomics Unit, RIKEN Center for Life Science Technologies, Yokohama, Kanagawa, Japan

4. RIKEN Center for Life Science Technologies (Division of Genomic Technologies) (CLST (DGT)), Yokohama, Kanagawa, Japan

5. RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan

6. Institute for Protein Research, Osaka University, Suita, Osaka, Japan

Funder

King Abdullah University of Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference19 articles.

1. An atlas of active enhancers across human cell types and tissues;Andersson;Nature,2014

2. A community computational challenge to predict the activity of pairs of compounds;Bansal;Nat. Biotechnol,2014

3. Topoisomerase IIα in chromosome instability and personalized cancer therapy;Chen;Oncogene,2015

4. Protein dynamics in drug combinations: a linear superposition of individual-drug responses;Geva-Zatorsky;Cell,2010

5. Network pharmacology: the next paradigm in drug discovery;Hopkins;Nat. Chem. Biol,2008

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