Sushmita Paul

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A review on methods for predicting miRNA-mRNA regulatory modules.

[BibT_eX]

[DOI]

Madhumita Madhumita

J. Integr. Bioinform., 2022

Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

Novel Ways of Enumerating Restrained Dominating Sets of Cycles.

[BibT_eX]

[DOI]

Ratanjeet Pratap Chauhan

Srinibas Swain

Proceedings of the New Trends in Computer Technologies and Applications, 2022

Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS.

[BibT_eX]

[DOI]

Jyoti Sharma

Khadija Sana Hafeez

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021

Recursive Multi-view Integration for Subtypes Identification of Cervical Cancer.

[BibT_eX]

[DOI]

Archit Dwivedi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

RFCM<sup>3</sup>: Computational Method for Identification of miRNA-mRNA Regulatory Modules in Cervical Cancer.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019

An Integrated Approach for Identification of Functionally Similar MicroRNAs in Colorectal Cancer.

[BibT_eX]

[DOI]

Dhanajit Brahma

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2019

Density-Based Clustering of Functionally Similar Genes Using Biological Knowledge.

[BibT_eX]

[DOI]

Namrata Pant

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Importance of Feature Weighing in Cervical Cancer Subtypes Identification.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Robust Computational Method for Identification of miRNA-mRNA Modules in Cervical Cancer.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Type 2 Diabetes Gene Identification Using an Integrated Approach from Single-Cell RNA Sequencing Data.

[BibT_eX]

[DOI]

Sonu Bansal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure.

[BibT_eX]

[DOI]

Ekta Shah

Inf. Sci., 2017

Integration of Gene Expression and Ontology for Clustering Functionally Similar Genes.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2017

Machine Learning Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer.

[BibT_eX]

[DOI]

Shubham Talbar

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016

Gene expression and protein-protein interaction data for identification of colon cancer related genes using f-information measures.

[BibT_eX]

[DOI]

Nat. Comput., 2016

2015

Supervised Cluster Analysis of miRNA Expression Data Using Rough Hypercuboid Partition Matrix.

[BibT_eX]

[DOI]

Julio Vera

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

A New Similarity Measure for Identification of Disease Genes.

[BibT_eX]

[DOI]

Ekta Shah

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

2014

Gene ontology based quantitative index to select functionally diverse genes.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2014

Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics

[BibT_eX]

[DOI]

Springer, ISBN: 978-3-319-05630-2, 2014

2013

Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2013

µHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

City Block Distance for Identification of Co-expressed MicroRNAs.

[BibT_eX]

[DOI]

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

2012

A New Rough-Fuzzy Clustering Algorithm and its Applications.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data.

[BibT_eX]

[DOI]

Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

Rough sets and support vector machine for selecting differentially expressed miRNAs.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Robust RFCM algorithm for identification of co-expressed miRNAs.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2011

Rough Sets for Selection of Functionally Diverse Genes from Microarray Data.

[BibT_eX]

[DOI]

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules.

[BibT_eX]

[DOI]