Lin, Peng <br/><br/>
Survival analysis of genome-wide profiles coupled with Connectivity Map database mining to identify potential therapeutic targets for cholangiocarcinoma.  [electronic resource] 

 -  Oncology reports  Dec 2018 
 - 3189-3198 p.  digital 
<br/><br/> Publication Type: Journal Article 
<br/><br/><label>ISSN: </label>1791-2431 
<br/><br/><label>Standard No.: </label>10.3892/or.2018.6710  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bile Duct Neoplasms--drug therapy<br/>Cholangiocarcinoma--drug therapy<br/>Computational Biology<br/>Data Mining<br/>Drug Screening Assays, Antitumor<br/>Gene Expression Profiling--methods<br/>Gene Expression Regulation, Neoplastic--drug effects<br/>Gene Regulatory Networks--drug effects<br/>Genetic Predisposition to Disease<br/>Humans<br/>Molecular Docking Simulation<br/>Molecular Targeted Therapy<br/>Prognosis<br/>Sequence Analysis, RNA--methods<br/>Small Molecule Libraries--pharmacology<br/>Survival Analysis