DocumentCode :
2767851
Title :
Identifying smoking associated gene co-expression networks related to oral cancer initiation
Author :
Zhang, Jie ; Knobloch, Thomas ; Parvin, Jeffrey ; Weghorst, Christopher ; Huang, Kun
Author_Institution :
OSUCCC Biomed. Inf. Shared Resource, Columbus, OH, USA
fYear :
2011
fDate :
12-15 Nov. 2011
Firstpage :
1039
Lastpage :
1041
Abstract :
We present a workflow to identify smoking specific gene co-expression networks and then screen them for specific networks with relationship to oral cancer initiation and development. Interestingly, we found the network with highest activity (based on mutual information metric) is a network uniquely identified from the smoking cohort in pre-cancerous stage, which is consistent with the role of smoking in oral cancer initiation. In addition, this network is highly enriched with oral and esophagus tissue specific genes. The discovery suggests that putative smoking associated genes can also be potential targets for cancer therapeutics.
Keywords :
bioinformatics; biological techniques; cancer; data mining; genetics; molecular biophysics; cancer therapeutics; esophagus tissue specific genes; mutual information metric; oral cancer development; oral cancer initiation; oral tissue specific genes; smoking associated gene coexpression networks; Algorithm design and analysis; Esophagus; Gene expression; Metastasis; Mouth; Mutual information;
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.2011.6112553
Filename :
6112553
Link To Document :
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