Your browser doesn't support javascript.
loading
A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping.
Wen, Qing; Kim, Chang-Sik; Hamilton, Peter W; Zhang, Shu-Dong.
Affiliation
  • Wen Q; Centre for Cancer Research and Cell Biology (CCRCB), Queen's University Belfast, Belfast, UK.
  • Kim CS; Centre for Cancer Research and Cell Biology (CCRCB), Queen's University Belfast, Belfast, UK.
  • Hamilton PW; Scientific Computing Department, STFC Daresbury Laboratory, Daresbury, Warrington, UK.
  • Zhang SD; Centre for Cancer Research and Cell Biology (CCRCB), Queen's University Belfast, Belfast, UK. P.Hamilton@qub.ac.uk.
BMC Bioinformatics ; 17(1): 211, 2016 May 11.
Article in En | MEDLINE | ID: mdl-27170106
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Gene Expression Profiling / Small Molecule Libraries / Lung Neoplasms / Antineoplastic Agents Type of study: Prognostic_studies Limits: Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Type: Article Affiliation country: United kingdom
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Gene Expression Profiling / Small Molecule Libraries / Lung Neoplasms / Antineoplastic Agents Type of study: Prognostic_studies Limits: Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Type: Article Affiliation country: United kingdom