Comparison of methods for differential co-expression analysis for disease biomarker prediction T Kakati, DK Bhattacharyya, P Barah, JK Kalita Computers in biology and medicine 113, 103380, 2019 | 70 | 2019 |
DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning T Kakati, DK Bhattacharyya, JK Kalita, TM Norden-Krichmar BMC bioinformatics 23 (1), 17, 2022 | 28 | 2022 |
THD-Tricluster: A robust triclustering technique and its application in condition specific change analysis in HIV-1 progression data T Kakati, HA Ahmed, DK Bhattacharyya, JK Kalita Computational biology and chemistry 75, 154-167, 2018 | 19 | 2018 |
THD-module extractor: an application for CEN module extraction and interesting gene identification for Alzheimer’s disease T Kakati, H Kashyap, DK Bhattacharyya Scientific Reports 6 (1), 38046, 2016 | 17 | 2016 |
A fast gene expression analysis using parallel biclustering and distributed triclustering approach T Kakati, HA Ahmed, DK Bhattacharyya, JK Kalita Proceedings of the second international conference on information and …, 2016 | 12 | 2016 |
X-Module: A novel fusion measure to associate co-expressed gene modules from condition-specific expression profiles T Kakati, DK Bhattacharyya, JK Kalita Journal of biosciences 45, 1-13, 2020 | 4 | 2020 |
DEGnet: identifying differentially expressed genes using deep neural network from RNA-Seq datasets T Kakati, DK Bhattacharyya, JK Kalita International Conference on Pattern Recognition and Machine Intelligence …, 2019 | 4 | 2019 |