Rough set based maximum relevance-maximum significance criterion and gene selection from microarray data P Maji, S Paul International Journal of Approximate Reasoning 52 (3), 408-426, 2011 | 133 | 2011 |
Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data P Maji, S Paul IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (2 …, 2012 | 86 | 2012 |
RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure P Maji, E Shah, S Paul Information Sciences 384, 110-125, 2017 | 27 | 2017 |
The AP-1 transcription factor c-Jun promotes arthritis by regulating cyclooxygenase-2 and arginase-1 expression in macrophages N Hannemann, J Jordan, S Paul, S Reid, HW Baenkler, S Sonnewald, ... The Journal of Immunology 198 (9), 3605-3614, 2017 | 26 | 2017 |
Rough sets for selection of molecular descriptors to predict biological activity of molecules P Maji, S Paul IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 26 | 2010 |
City block distance and rough-fuzzy clustering for identification of co-expressed micrornas S Paul, P Maji Molecular BioSystems 10 (6), 1509-1523, 2014 | 24 | 2014 |
Scalable Pattern Recognition Algorithms P Maji, S Paul Springer International Pu, 2016 | 20 | 2016 |
Robust rough-fuzzy C-means algorithm: design and applications in coding and non-coding RNA expression data clustering P Maji, S Paul Fundamenta Informaticae 124 (1-2), 153-174, 2013 | 19 | 2013 |
Microarray time-series data clustering using rough-fuzzy c-means algorithm P Maji, S Paul 2011 IEEE International Conference on Bioinformatics and Biomedicine, 269-272, 2011 | 18 | 2011 |
Model-based genotype-phenotype mapping used to investigate gene signatures of immune sensitivity and resistance in melanoma micrometastasis G Santos, S Nikolov, X Lai, M Eberhardt, FS Dreyer, S Paul, G Schuler, ... Scientific reports 6 (1), 1-14, 2016 | 16 | 2016 |
Gene expression and protein–protein interaction data for identification of colon cancer related genes using f-information measures S Paul, P Maji Natural Computing 15 (3), 449-463, 2016 | 15 | 2016 |
μHEM for Identification of Differentially Expressed miRNAs Using Hypercuboid Equivalence Partition Matrix S Paul, P Maji BMC Bioinformatics 14 (266), 1-18, 2013 | 14 | 2013 |
Rough set based gene selection algorithm for microarray sample classification S Paul, P Maji 2010 International Conference on Methods and Models in Computer Science …, 2010 | 11 | 2010 |
Rough-fuzzy c-means for clustering microarray gene expression data P Maji, S Paul Indo-Japanese Conference on Perception and Machine Intelligence, 203-210, 2012 | 10 | 2012 |
Rough sets for Insilico identification of differentially expressed miRNAs P Maji, S Paul Scalable Pattern Recognition Algorithms, 171-193, 2014 | 9 | 2014 |
Phylogenetic analysis of the novel coronavirus reveals important variants in Indian strains A Joshi, S Paul BioRxiv, 2020 | 8 | 2020 |
EMT transcription factor ZEB1 alters the epigenetic landscape of colorectal cancer cells P Lindner, S Paul, M Eckstein, C Hampel, JK Muenzner, ... Cell death & disease 11 (2), 1-13, 2020 | 7 | 2020 |
Gene ontology based quantitative index to select functionally diverse genes S Paul, P Maji International Journal of Machine Learning and Cybernetics 5 (2), 245-262, 2014 | 7 | 2014 |
Identification of mirna-mrna modules in colorectal cancer using rough hypercuboid based supervised clustering S Paul, P Lakatos, A Hartmann, R Schneider-Stock, J Vera Scientific reports 7 (1), 1-18, 2017 | 6 | 2017 |
Robust RFCM algorithm for identification of co-expressed miRNAs S Paul, P Maji 2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-4, 2012 | 6 | 2012 |