Wen, Q, Kim, C, Hamilton, P and Zhang, S. 2016. Additional file 2 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Online]. Figshare. Available from: https://doi.org/10.6084/m9.figshare.c.3624356_D2.v1
Wen, Q, Kim, C, Hamilton, P and Zhang, S. Additional file 2 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping [Internet]. Figshare; 2016. Available from: https://doi.org/10.6084/m9.figshare.c.3624356_D2.v1
Wen, Q, Kim, C, Hamilton, P and Zhang, S (2016). Additional file 2 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D2.v1
Description
Significant drugs returned with the k=50 HDACi gene signature. The list of significant drugs returned from sscMap using the k=50 HDACi gene signature from the "simulated experiment". All 7 known HDAC inhibitors were pulled out, but together with many other drugs, which may or may not related to HDAC inhibition. The main biological theme (HDAC inhibition) could potentially be weakned or even masked due to the co-existence of many other drugs.
Data capture method | Unknown |
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Date (Date published in a 3rd party system) | 11 May 2016 |
Language(s) of written materials | English |
Data Creators | Wen, Q, Kim, C, Hamilton, P and Zhang, S |
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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 |
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Date Deposited | 04 Jan 2024 17:09 |
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Last Modified | 04 Jan 2024 17:09 |
Publisher | Figshare |