2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) (2016)
Oct. 31, 2016 to Nov. 2, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBE.2016.63
Numerous genomic and clinical cancer data have been generated and available through The Cancer Genome Atlas (TCGA). However, these datasets are difficult to access and interpret. Most of the existing tools provide resources for exploring, visualizing, and analyzing multidimensional genomics data for all cancer samples. Here we present an integrative pan-cancer analysis of DNA copy number, messenger RNA and microRNA (miRNA) expression, DNA methylation, protein expression and clinical characteristics for studying gene regulation and expression based survival analysis in paired tumor and normal samples. Clinical researchers have a simple way to evaluate the TCGA data for their genes or candidate biomarkers of interest.
Cancer, Bioinformatics, Genomics, Tumors, DNA, Hospitals, Data visualization
H. Huang, C. Lin, C. Yang, C. Ho, Y. Chang and J. Chang, "An Integrative Analysis for Cancer Studies," 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE), Taichung, Taiwan, 2016, pp. 387-389.