Additional file 3 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 3 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_D3.v1

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Lung cancer gene signature. The full list of 322 genes (probesets) and their ranks for the optimal gene signature obtained from the lung cancer dataset GSE19804.

Keywords

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

Item Type	Dataset
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, Altnagelvin Hospital campus, 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 17:11
Last Modified	04 Jan 2024 17:11
Publisher	Figshare