Compound signature detection on LINCS L1000 big data-Reference-Cited by-同舟云学术

Compound signature detection on LINCS L1000 big data

Published:2015 Issue:3 Volume:11 Page:714-722
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

Liu Chenglin¹²³⁴⁵,Su Jing⁵⁶⁷⁸⁹,Yang Fei⁵⁶⁷⁸⁹,Wei Kun⁵⁶⁷⁸⁹,Ma Jinwen¹²³⁴,Zhou Xiaobo⁵⁶⁷⁸⁹

Affiliation:

1. School of Mathematical Sciences and LMAM

2. Peking University

3. Beijing 100871

4. China

5. Center for Bioinformatics and Systems Biology

6. Department of Diagnostic Radiology and Comprehensive Cancer Center of Wake Forest University

7. Wake Forest School of Medicine

8. Winston-Salem

9. USA

Abstract

The Library of Integrated Network-based Cellular Signatures (LINCS) L1000 big data provide gene expression profiles induced by over 10 000 compounds, shRNAs, and kinase inhibitors using the L1000 platform.

Funder

National Institutes of Health

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2015/MB/C4MB00677A

Reference34 articles.

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