Predicting rice genes important for drought tolerance using gene regulatory networks and machine learning
Talk, Crops InSilico, University if Illinois, Urbana, IL
Talks and presentations
The drought tolerance gene classifier of rice
Poster, Arkansas Bioinformatics Consortium (AR-BIC), Little Rock, AR
Network-based approach to prioritize lung cancer genes from whole-exome sequencing data
Poster, Arkansas Bioinformatics Consortium (AR-BIC), Little Rock, AR
Differential Co-expression: A new paradigm for identification of candidate genes from expression data
Poster, Arkansas Bioinformatics Consortium (AR-BIC), Little Rock, AR
An abiotic-stress conditioned gene regulatory network in rice predicted using an ensemble of reverse-engineering solutions
Poster, The 25th Plant and Animal Genome (PAG) Conference, San Diego, CA
A resource for systems analysis of stress response in rice
Poster, Workshop on plant development and drought stress (NSF), Monterey, CA
Arabidopsis seed-filling association-network analysis
Talk, American Society of Plant Biologists – Southern Section (ASPB-SS), Lexington, KY
In Silico Analysis of Fusion Proteins in Cancer
Poster, International Conference on Biomedical and Genomic Research, Ahmedabad, India
A bioinformatics tool to predict tilt in axis of membrane proteins based on physio-chemical and sequence features
Poster, Sardar Patel University, SPU, Gujarat, India