Rajat K. De
Cited by
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Unsupervised feature evaluation: A neuro-fuzzy approach
SK Pal, RK De, J Basak
IEEE Transactions on neural networks 11 (2), 366-376, 2000
Immunoinformatics: an integrated scenario
N Tomar, RK De
Immunology 131 (2), 153-168, 2010
Feature analysis: Neural network and fuzzy set theoretic approaches
K De Rajat, NR Pal, SK Pal
Pattern Recognition 30 (10), 1579-1590, 1997
Unsupervised feature selection using a neuro-fuzzy approach
J Basak, RK De, SK Pal
Pattern Recognition Letters 19 (11), 997-1006, 1998
Knowledge-based fuzzy MLP for classification and rule generation
S Mitra, RK De, SK Pal
IEEE Transactions on Neural Networks 8 (6), 1338-1350, 1997
Obesity: an immunometabolic perspective
I Ray, SK Mahata, RK De
Frontiers in endocrinology 7, 157, 2016
Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles
A Bhattacharya, RK De
bioinformatics 24 (11), 1359-1366, 2008
Immunoinformatics: a brief review
N Tomar, RK De
Immunoinformatics, 23-55, 2014
Comparing methods for metabolic network analysis and an application to metabolic engineering
N Tomar, RK De
Gene 521 (1), 1-14, 2013
Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework
M Acharyya, RK De, MK Kundu
IEEE Transactions on Geoscience and Remote Sensing 41 (12), 2900-2905, 2003
A brief outline of the immune system
N Tomar, RK De
Immunoinformatics, 3-12, 2014
A review on host–pathogen interactions: classification and prediction
R Sen, L Nayak, RK De
European Journal of Clinical Microbiology & Infectious Diseases 35, 1581-1599, 2016
Bi-correlation clustering algorithm for determining a set of co-regulated genes
A Bhattacharya, RK De
Bioinformatics 25 (21), 2795-2801, 2009
Extraction of features using M-band wavelet packet frame and their neuro-fuzzy evaluation for multitexture segmentation
M Acharyya, RK De, MK Kundu
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (12), 1639 …, 2003
Neuro-fuzzy feature evaluation with theoretical analysis
RK De, J Basak, SK Pal
Neural Networks 12 (10), 1429-1455, 1999
Estimating gene expression from DNA methylation and copy number variation: a deep learning regression model for multi-omics integration
DB Seal, V Das, S Goswami, RK De
Genomics 112 (4), 2833-2841, 2020
Wnt signal transduction pathways: modules, development and evolution
L Nayak, NP Bhattacharyya, RK De
BMC Systems Biology 10 (2), 197-213, 2016
Selection of genes mediating certain cancers, using a neuro-fuzzy approach
A Ghosh, BC Dhara, RK De
Neurocomputing 133, 122-140, 2014
Average correlation clustering algorithm (ACCA) for grouping of co-regulated genes with similar pattern of variation in their expression values
A Bhattacharya, RK De
Journal of Biomedical Informatics 43 (4), 560-568, 2010
Catestatin improves insulin sensitivity by attenuating endoplasmic reticulum stress: In vivo and in silico validation
A Dasgupta, GK Bandyopadhyay, I Ray, K Bandyopadhyay, N Chowdhury, ...
Computational and structural biotechnology journal 18, 464-481, 2020
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