Additional file 4 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping
Wen, Q
, 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
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 cancerItem Type | Dataset |
---|---|
Capture method | Unknown |
Date | 11 May 2016 |
Language(s) of written materials | English |
Creator(s) |
Wen, Q |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
Participating Institutions | Queen’s University Belfast, Belfast, United Kingdom, STFC Daresbury Laboratory, Daresbury, Warrington, United Kingdom, University of Ulster, C-TRIC Building, Altnagelvin Hospital campus, Glenshane Road, BT47 6SB, Derry/Londonderry, United Kingdom |
Funders |
Project Funder Grant Number Funder URI Doctoral Training Grant UNSPECIFIED http://dx.doi.org/10.13039/501100000266 UNSPECIFIED BB/I009051/1 http://dx.doi.org/10.13039/501100000268 People Programme (Marie Curie Actions) UNSPECIFIED http://dx.doi.org/10.13039/100011102 |
Date Deposited | 04 Jan 2024 17:14 |
Last Modified | 04 Jan 2024 17:14 |
Publisher | Figshare |
No files available. Please consult associated links.
- Data record – Figshare (Online Data Resource)
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ORCID: https://orcid.org/0000-0003-4325-7829