Weighted edge based clustering to identify protein complexes in protein–protein interaction networks incorporating gene expression profile S Keretsu, R Sarmah Computational Biology and Chemistry 65, 69-79, 2016 | 34 | 2016 |
Clustering gene expression data using an effective dissimilarity measure R Das, DK Bhattacharyya, JK Kalita International Journal of Computational BioScience (Special Issue) 1 (1), 55-68, 2010 | 25 | 2010 |
Biomarker identification for cancer disease using biclustering approach: An empirical study K Mandal, R Sarmah, DK Bhattacharyya IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2018 | 24 | 2018 |
A new approach for clustering gene expression time series data R Das, J Kalita, DK Bhattacharyya International Journal of Bioinformatics Research and Applications 5 (3), 310-328, 2009 | 22 | 2009 |
A common neighbor based technique to detect protein complexes in PPI networks M Haque, R Sarmah, DK Bhattacharyya Journal of Genetic Engineering and Biotechnology 16 (1), 227-238, 2018 | 15 | 2018 |
A pattern matching approach for clustering gene expression data R Das, J Kalita, DK Bhattacharyya International Journal of Data Mining, Modelling and Management 3 (2), 130-149, 2011 | 13 | 2011 |
Developing an effective biclustering technique using an enhanced proximity measure P Patowary, R Sarmah, DK Bhattacharyya Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-17, 2020 | 10 | 2020 |
A distributed algorithm for intrinsic cluster detection over large spatial data S Sarmah, R Das, DK Bhattacharyya International Journal of Computer and Information Engineering 2 (9), 3126-3136, 2008 | 10 | 2008 |
Incremental k-means method RK Prasad, R Sarmah, S Chakraborty International Conference on Pattern Recognition and Machine Intelligence, 38-46, 2019 | 9 | 2019 |
An incremental clustering of gene expression data R Das, DK Bhattacharyya, JK Kalita 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 742-747, 2009 | 9 | 2009 |
Popbic: pathway-based order preserving biclustering algorithm towards the analysis of gene expression data K Mandal, R Sarmah, DK Bhattacharyya IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (6 …, 2020 | 8 | 2020 |
POPTric: Pathway-based Order Preserving Triclustering for gene sample time data analysis K Mandal, R Sarmah, DK Bhattacharyya Expert Systems with Applications 192, 116336, 2022 | 7 | 2022 |
An effective graph-based clustering technique to identify coherent patterns from gene expression data G Priyadarshini, R Sarmah, B Chakraborty, DK Bhattacharyya, JK Kalita International Journal of Bioinformatics Research and Applications 8 (1-2), 18-37, 2012 | 7 | 2012 |
An effective density-based hierarchical clustering technique to identify coherent patterns from gene expression data S Sarmah, RD Sarmah, DK Bhattacharyya Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia …, 2011 | 7 | 2011 |
A Frequent-Itemset Nearest Neighbor Based Approach for Clustering Gene Expression Data R Das, DK Bhattacharyya, JK Kalita Fifth Biotechnology and Bioinformatics Symposium (BIOT 08), 73-78, 2008 | 7 | 2008 |
Variable density spatial data clustering RK Prasad, R Sarmah 2011 2nd International Conference on Computer and Communication Technology …, 2011 | 6 | 2011 |
An effective dissimilarity measure for clustering gene expression time series data R Das, DK Bhattacharyya, JK Kalita BIOT 2007, 2007 | 6 | 2007 |
NNVDC: A new versatile density-based clustering method using k-Nearest Neighbors RK Prasad, R Sarmah, S Chakraborty, S Sarmah Expert Systems with Applications 227, 120250, 2023 | 5 | 2023 |
A density-based clustering for gene expression data using gene ontology K Mandal, R Sarmah Proceedings of the International Conference on Computing and Communication …, 2018 | 5 | 2018 |
CNNC: a common nearest neighbour clustering approach for gene expression data M Goswami, R Sarmah, DK Bhattacharyya International Journal of Computational Vision and Robotics 2 (2), 115-126, 2011 | 4 | 2011 |