Additional file 4 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping

Wen, QORCID logo; Kim, C; Hamilton, P and Zhang, S (2016). Additional file 4 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D1.v1
Copy

Breast cancer gene signature. The full list of 232 genes (probesets) and their ranks for the optimal gene signature obtained from the breast cancer dataset GSE15852.

Keywords

Connectivity mapping; Differentially expressed genes; Gene signature progression; Disease inhibitory compounds; Lung cancer; Breast cancer

No files available. Please consult associated links.


EndNote BibTeX Reference Manager Refer Atom Dublin Core (with Type as Type) JSON Multiline CSV OpenURL ContextObject in Span OPENAIRE Data Cite XML HTML Citation OpenURL ContextObject MPEG-21 DIDL METS MODS RDF+N3 RDF+XML Simple Metadata RDF+N-Triples ASCII Citation EP3 XML
Export