DocumentCode :
2767879
Title :
Comprehensive investigation of connectivity map data-towards a drug mode of action network for personalized thnerapy
Author :
Ma, Chifeng ; Harry, Huang-I ; Huang, Yufei ; Chen, Yidong
Author_Institution :
Dept. of ECE, Univ. of Texas at San Antonio, San Antonio, TX, USA
fYear :
2011
fDate :
12-15 Nov. 2011
Firstpage :
1045
Lastpage :
1047
Abstract :
This work aims at addressing the problems existed in the original cMap algorithm and proposed a new drug Mode-of Action Network construction scheme including data pre-processing, signature gene extraction, network construction and query prediction. Multiple analyses were conducted to investigate the structure of constructed drug mode-of-action network and the cMap based Mode-of-Action network is tested on the independent drug treatment datasets. All result shows our cMap based drug Mode-of-Action network is both statistically and biologically significant and out-perform the original cMap project.
Keywords :
bioinformatics; drugs; cMap algorithm; connectivity map data; data preprocessing; drug mode of action network; network construction; personalized therapy; query prediction; signature gene extraction; Bioinformatics; Cancer; Compounds; Drugs; Gene expression; Genomics; Prediction algorithms; Drug Mode of Action; Network and Prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
Type :
conf
DOI :
10.1109/BIBMW.2011.6112555
Filename :
6112555
Link To Document :
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