Title :
Bioinformatics study of the molecular features of breast cancers
Author_Institution :
MOE Key Lab. of Bioinf., Tsinghua Univ., Beijing
Abstract :
A major application of current functional genomics is to study the underlying molecular properties of diseases like cancer by profiling the expression of thousands of genes. Pattern recognition techniques have been widely used for such applications. Based on microarray gene expression data of breast cancer samples, we conducted a series of analysis on various features of breast cancer patients. The studied features include ER, Her2, grade and lymph node status. The observations from the data have provided new understanding to the biology behind discimination between various breast cancer features. Especially, a putative pathway of microRNA regulation on the differentiation of breast tumors has been proposed based on the intergrated investigation on gene expression, microRNA targeting and gene set analysis.
Keywords :
cancer; genetics; gynaecology; medical computing; pattern recognition; tumours; ER; Her2; bioinformatics; breast cancer patients; breast tumors; diseases; functional genomics; gene expression; gene set analysis; lymph node status; microRNA regulation; microRNA targeting; microarray gene expression data; molecular properties; pattern recognition; putative pathway; Automation; Bioinformatics; Biomedical engineering; Breast cancer; Gene expression; Hospitals; Information technology; Laboratories; Medical treatment; Pattern recognition;
Conference_Titel :
Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-2254-8
Electronic_ISBN :
978-1-4244-2255-5
DOI :
10.1109/ITAB.2008.4570513
