Start
Mar 19, 2009 - 16:00
End
Mar 19, 2009 - 17:30
Venue
Room No 118 (Creativity Hall)
Event Type
Speaker
Mugdha Gadgil
Title
A population proportion approach for ranking differentially expressed genes
DNA microarrays are used for the simultaneous analysis of expression of thousands of genes. They have been used extensively to compare gene expression profiles between cancer and normal tissues with goals of (1) understanding the molecular etiology of disease and (2) identifying molecular biomarkers for diagnostic purposes. Cancer is a disease of heterogeneous etiology; hence we can expect significant biological variability between cancerous tissue samples from different patients. This can lead to situations where key genes are differentially expressed in only a subset of samples. This is distinct from the case of in vitro biological replicate samples expected to have low variability between replicates. Most currently used microarray data analysis approaches compare mean expression levels between classes and are not geared to find genes whose expression is significantly different in only a subset of samples in a class. This talk will briefly describe available approaches for the identification of such genes and outline a new population proportion ranking method (PPRM) using inter-sample ratios for quantifying variability in samples.About the Speaker: Mugdha Gadgil is a Scientist in the Chemical Engineering division at the National Chemical Laboratory Pune. She obtained a B. Chem. Eng from UICT Mumbai and a Ph.D in Chemical Engineering from the University of Minnesota. Before joining NCL she worked as a Scientist in the Cell Culture Development PD-Direct^TM group at Invitrogen Corporation MD where she oversaw Cell Line Development operations for protein production. Her research interests include bioinformatics - specifically microarray data analysis and mammalian cell and process engineering for recombinant protein production.