Medical image analysis using Machine Learning
we conduct research on skin lesion images to isolate the affected region and try to detect cancer using various Machine Learning models. We are also working on detecting other skin related disease by analysing skin lesion images.
Role of transcript switch in different cancers
By computational approach, we are studying how switching of expressing transcripts of important genes change the interplay between RBP and miRNA in different cancers.
Role of RNA modification in Gene expression regulation
In our lab we focus on the role of a new player RNA modification in gene expression regulation. m 6 A is the most prevalent RNA modification in eukaryotes, and is enriched in 3’UTR of the RNA. m 6 A has been shown to influence both RNA-binding protein (RBP) and microRNA (miRNA) binding. Computationally we are studying the role of m 6 A in interplay between RBP and miRNA in fine tuning expression of important genes in different disease conditions.
Document Image analysis using Machine Learning
We also conduct research on document image analysis which includes Binarization, Document layout analysis, Text extraction, Character recognition, Digit recognition etc.