Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach-Reference-Cited by-同舟云学术

Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach

Published:2017-11-27 Issue:8 Volume:34 Page:1353-1362
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Ali Mehreen¹²^ORCID,Khan Suleiman A¹²,Wennerberg Krister¹,Aittokallio Tero¹²³

Affiliation:

1. Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland

2. Helsinki Institute for Information Technology (HIIT), Aalto University, Espoo, Finland

3. Department of Mathematics and Statistics, University of Turku, Turku, Finland

Funder

Academy of Finland

Publisher

Oxford University Press (OUP)

Subject

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

Link

http://academic.oup.com/bioinformatics/article-pdf/34/8/1353/25171187/btx766.pdf

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5. Phosphoproteomics data classify hematological cancer cell lines according to tumor type and sensitivity to kinase inhibitors;Casado;Genome Biol,2013

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