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

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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

Item Type	Dataset
Resource Type	Resource Type Resource Description Dataset Quantitative
Capture method	Unknown
Date	11 May 2016
Language(s) of written materials	English
Creator(s)	Wen, Q , Kim, C, Hamilton, P and Zhang, S
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 Engineering and Physical Sciences Research Council UNSPECIFIED http://dx.doi.org/10.13039/501100000266 UNSPECIFIED Biotechnology and Biological Sciences Research Council BB/I009051/1 http://dx.doi.org/10.13039/501100000268 People Programme (Marie Curie Actions) Seventh Framework Programme UNSPECIFIED http://dx.doi.org/10.13039/100011102
Date Deposited	04 Jan 2024 17:14
Last Modified	04 Jan 2024 17:14
Publisher	Figshare