Atmakuri Ramakrishna Rao

shRNAPred (version 1.0): An open source and standalone software for short hairpin RNA (shRNA) prediction

Tanmaya Kumar Sahu, Nishtha Singh, Atmakuri Ramakrishna Rao, 2012, Bioinformation.

An approach using random forest methodology for disease risk prediction using imbalanced case–control data in GWAS

Prabina Kumar Meher, Atmakuri Ramakrishna Rao, S. D. Wahi, 2014 .

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, 2017, Scientific Reports.

Additional file 2: of Prediction of donor splice sites using random forest with a new sequence encoding approach

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, 2016 .

mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net

Prabina Kumar Meher, Atmakuri Ramakrishna Rao, Anil Rai, 2021, BMC Bioinformatics.

Classification of maize genotypes by artificial neural network-based method: self organizing feature map*

S. D. Wahi, Atmakuri Ramakrishna Rao, Sukanta Dash, 2012 .

Identification of a diverse mini‐core panel of Indian rice germplasm based on genotyping using microsatellite markers

Archana Singh, Ashutosh Kumar Singh, Sukhdeep Kaur, 2015 .