Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules. - Pradipta Maji; Sushmita Paul (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm. - Pradipta Maji; Sushmita Paul (BIBM, 2011)

Rough Sets for Selection of Functionally Diverse Genes from Microarray Data. - Sushmita Paul; Pradipta Maji (SEMCCO (1), 2011)

Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data. - Pradipta Maji; Sushmita Paul (Int. J. Approx. Reason., 2011)

Robust RFCM algorithm for identification of co-expressed miRNAs. - Sushmita Paul; Pradipta Maji (BIBM, 2012)

Rough sets and support vector machine for selecting differentially expressed miRNAs. - Sushmita Paul; Pradipta Maji (BIBM Workshops, 2012)

Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data. - Pradipta Maji; Sushmita Paul (PerMIn, 2012)

A New Rough-Fuzzy Clustering Algorithm and its Applications. - Sushmita Paul; Pradipta Maji (SocProS, 2012)

City Block Distance for Identification of Co-expressed MicroRNAs. - Sushmita Paul; Pradipta Maji (SEMCCO (2), 2013)

µHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix. - Sushmita Paul; Pradipta Maji (BMC Bioinform., 2013)

Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering. - Pradipta Maji; Sushmita Paul (Fundam. Informaticae, 2013)

Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data. - Pradipta Maji; Sushmita Paul (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance. - Pradipta Maji; Sushmita Paul (Rough Sets and Intelligent Systems (2), 2013)

Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics - Pradipta Maji; Sushmita Paul (Springer, 2014)

Gene ontology based quantitative index to select functionally diverse genes. - Sushmita Paul; Pradipta Maji (Int. J. Mach. Learn. Cybern., 2014)

A New Similarity Measure for Identification of Disease Genes. - Pradipta Maji; Ekta Shah; Sushmita Paul (PReMI, 2015)

Supervised Cluster Analysis of miRNA Expression Data Using Rough Hypercuboid Partition Matrix. - Sushmita Paul; Julio Vera (PReMI, 2015)

Gene expression and protein-protein interaction data for identification of colon cancer related genes using f-information measures. - Sushmita Paul; Pradipta Maji (Nat. Comput., 2016)

Machine Learning Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer. - Sushmita Paul; Shubham Talbar (PReMI, 2017)

Integration of Gene Expression and Ontology for Clustering Functionally Similar Genes. - Sushmita Paul (IJCRS (1), 2017)

RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure. - Pradipta Maji; Ekta Shah; Sushmita Paul (Inf. Sci., 2017)

Type 2 Diabetes Gene Identification Using an Integrated Approach from Single-Cell RNA Sequencing Data. - Sushmita Paul; Sonu Bansal (BIBM, 2018)

Robust Computational Method for Identification of miRNA-mRNA Modules in Cervical Cancer. - Sushmita Paul; Madhumita (ICDM Workshops, 2018)

Importance of Feature Weighing in Cervical Cancer Subtypes Identification. - Madhumita; Sushmita Paul (BIBE, 2019)

Density-Based Clustering of Functionally Similar Genes Using Biological Knowledge. - Namrata Pant; Sushmita Paul (PReMI (2), 2019)

Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer. - Namrata Pant; Somnath Rakshit; Sushmita Paul; Indrajit Saha (J. Biomed. Informatics, 2019)

An Integrated Approach for Identification of Functionally Similar MicroRNAs in Colorectal Cancer. - Sushmita Paul; Dhanajit Brahma (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

RFCM3: Computational Method for Identification of miRNA-mRNA Regulatory Modules in Cervical Cancer. - Sushmita Paul; Madhumita (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Recursive Multi-view Integration for Subtypes Identification of Cervical Cancer. - Madhumita; Archit Dwivedi; Sushmita Paul (BIBM, 2021)

Autoencoder Assisted Cancer Subtyping by Integrating Multi-omics Data. - Madhumita; Sushmita Paul (PReMI, 2021)

Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS. - Jyoti Sharma; Khadija Sana Hafeez; Sushmita Paul (CIBCB, 2022)

Novel Ways of Enumerating Restrained Dominating Sets of Cycles. - Sushmita Paul; Ratanjeet Pratap Chauhan; Srinibas Swain (ICS, 2022)

Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping. - Madhumita; Sushmita Paul (Comput. Biol. Medicine, 2022)

A review on methods for predicting miRNA-mRNA regulatory modules. - Madhumita Madhumita; Sushmita Paul (J. Integr. Bioinform., 2022)

A Feature Weighting-Assisted Approach for Cancer Subtypes Identification From Paired Expression Profiles. - Madhumita; Sushmita Paul (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Formal Explanations for Neuro-Symbolic AI. - Sushmita Paul; Jinqiang Yu; Jip J. Dekker; Alexey Ignatiev; Peter J. Stuckey (CoRR, 2024)