TIGP--Data-Driven Computational Function Association Networks in Cancer Study
- LecturerDr. Jung-Hsien Chiang (Institute of Medical Informatics, National Cheng Kung University)
Host: Miss Elsa Pan - Time2010-05-13 (Thu.) 14:00 – 15:00
- LocationAuditorium 106 at new IIS Building
Abstract
The aim of this speech is to introduce an integrated systems biology
infrastructure for cancer genes screen and annotation based on
dry-lab approach. In specific, we establish a multi-functional
bioinformatics platform for effectively finding gene-pair relations,
clustering gene expression profiles, and mining target gene modules
from vast amount of information available in both microarray data and
biomedical text for cancer study.
This infrastructure allows us to rapidly discover biological
functions of target genes in the prostate cancer related research, and
the identified candidate genes can be further studied in terms of
biological functions and molecular mechanisms by wet lab experiments
to confirm the prediction from in silico approach. We also present a
framework for discovering and visualizing functional modules from
protein-protein interactions through network clustering and Gene
Ontology classifications. The integrated system implements the
proposed framework such that medical researchers can gain valuable
insights into the inter-relations of their genes of interests through
auto-generated interactive cellular diagrams for module groups along
with the correlation matrices to associated pathways and annotations.