期刊
MOLECULAR BIOSYSTEMS
卷 11, 期 3, 页码 714-722出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/c4mb00677a
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资金
- National Institutes of Health [1U01HL111560]
- NATIONAL CANCER INSTITUTE [U01CA166886] Funding Source: NIH RePORTER
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [U01HL111560] Funding Source: NIH RePORTER
The Library of Integrated Network-based Cellular Signatures (LINCS) L1000 big data provide gene expression profiles induced by over 10000 compounds, shRNAs, and kinase inhibitors using the L1000 platform. We developed csNMF, a systematic compound signature discovery pipeline covering from raw L1000 data processing to drug screening and mechanism generation. The csNMF pipeline demonstrated better performance than the original L1000 pipeline. The discovered compound signatures of breast cancer were consistent with the LINCS KINOMEscan data and were clinically relevant. The csNMF pipeline provided a novel and complete tool to expedite signature-based drug discovery leveraging the LINCS L1000 resources.
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