Compound signature detection on LINCS L1000 big data.

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. 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.

journal_name

Mol Biosyst

journal_title

Molecular bioSystems

authors

Liu C,Su J,Yang F,Wei K,Ma J,Zhou X

doi

10.1039/c4mb00677a

subject

Has Abstract

pub_date

2015-03-01 00:00:00

pages

714-22

issue

3

eissn

1742-206X

issn

1742-2051

journal_volume

11

pub_type

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