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IEEE Computer Society Bioinformatics Conference (CSB'03)
Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data?
Stanford, California
August 11-August 14
ISBN: 0-7695-2000-6
| ASCII Text | x | ||
| Nigam Shah, Jorge Lepre, Yuhai Tu, Gustavo Stolovitzky, "Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data?," Computational Systems Bioinformatics Conference, International IEEE Computer Society, pp. 94, IEEE Computer Society Bioinformatics Conference (CSB'03), 2003. | |||
| BibTex | x | ||
| @article{ 10.1109/CSB.2003.1227308, author = {Nigam Shah and Jorge Lepre and Yuhai Tu and Gustavo Stolovitzky}, title = {Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data?}, journal ={Computational Systems Bioinformatics Conference, International IEEE Computer Society}, volume = {0}, year = {2003}, isbn = {0-7695-2000-6}, pages = {94}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSB.2003.1227308}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computational Systems Bioinformatics Conference, International IEEE Computer Society TI - Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data? SN - 0-7695-2000-6 SP EP A1 - Nigam Shah, A1 - Jorge Lepre, A1 - Yuhai Tu, A1 - Gustavo Stolovitzky, PY - 2003 KW - null VL - 0 JA - Computational Systems Bioinformatics Conference, International IEEE Computer Society ER - | |||
The cancer state of a cell is characterized by alterations of important cellular processes such as cell proliferation, apoptosis, DNA-damage repair, etc. The expression of genes associated with cancer related pathways, therefore, may exhibit differences between the normal and the cancerous states. We explore various means to find these differences. We analyze 6 different pathways (p53, Ras, Brca, DNA damage repair, NF\kappab and \beta-catenin) and 4 different types of cancer: colon, pancreas, prostate and kidney. Our results are found to be mostly consistent with existing knowledge of the involvement of these pathways in different cancers. Our analysis constitutes proof of principle that it may be possible to predict the involvement of a particular pathway in cancer or other diseases by using gene expression data. Such method would be particularly useful for the types of diseases where biology is poorly understood.
Citation:
Nigam Shah, Jorge Lepre, Yuhai Tu, Gustavo Stolovitzky, "Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data?," csb, pp.94, IEEE Computer Society Bioinformatics Conference (CSB'03), 2003
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