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Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data.

, and . Int. J. Approx. Reason., 52 (3): 408-426 (2011)

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City Block Distance for Identification of Co-expressed MicroRNAs., and . SEMCCO (2), volume 8298 of Lecture Notes in Computer Science, page 387-396. Springer, (2013)Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data., and . Int. J. Approx. Reason., 52 (3): 408-426 (2011)Machine Learning Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer., and . PReMI, volume 10597 of Lecture Notes in Computer Science, page 438-447. Springer, (2017)Density-Based Clustering of Functionally Similar Genes Using Biological Knowledge., and . PReMI (2), volume 11942 of Lecture Notes in Computer Science, page 113-121. Springer, (2019)Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS., , and . CIBCB, page 1-8. IEEE, (2022)Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm., and . BIBM, page 269-272. IEEE Computer Society, (2011)Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering., and . Fundam. Informaticae, 124 (1-2): 153-174 (2013)Integration of Gene Expression and Ontology for Clustering Functionally Similar Genes.. IJCRS (1), volume 10313 of Lecture Notes in Computer Science, page 587-598. Springer, (2017)Type 2 Diabetes Gene Identification Using an Integrated Approach from Single-Cell RNA Sequencing Data., and . BIBM, page 2152-2158. IEEE Computer Society, (2018)A New Similarity Measure for Identification of Disease Genes., , and . PReMI, volume 9124 of Lecture Notes in Computer Science, page 451-461. Springer, (2015)