Gene network analysis such as correlations, community detection and clustering to find functionally related genes associated with a particular disease. Exploring network centrality measures to find most important genes in different gene networks, which can be potential crucial gene for the disease.
Differential expression analysis and differential co-expression analysis of gene expression data such as RNA-Seq and single-cell RNA-Seq data to find genes responsible for a particular disease.
Awards
2014 – GATE Fellowship – NIT Meghalaya
Memberships
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Publications
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Interests
Image Processing
Thought Leaderships
There are no Thought Leaderships associated with this faculty.
Top Achievements
Education
2009
Bachelor of Engineering
Girijananda Chowdhury Institute of Management and Technology, Guwahati
Gene network analysis such as correlations, community detection and clustering to find functionally related genes associated with a particular disease. Exploring network centrality measures to find most important genes in different gene networks, which can be potential crucial gene for the disease.
Differential expression analysis and differential co-expression analysis of gene expression data such as RNA-Seq and single-cell RNA-Seq data to find genes responsible for a particular disease.
Gene network analysis such as correlations, community detection and clustering to find functionally related genes associated with a particular disease. Exploring network centrality measures to find most important genes in different gene networks, which can be potential crucial gene for the disease.
Differential expression analysis and differential co-expression analysis of gene expression data such as RNA-Seq and single-cell RNA-Seq data to find genes responsible for a particular disease.
