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Sushmita Paul
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2020 – today
- 2022
- [j14]Madhumita, Sushmita Paul:
Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping. Comput. Biol. Medicine 148: 105832 (2022) - [j13]Madhumita Madhumita, Sushmita Paul:
A review on methods for predicting miRNA-mRNA regulatory modules. J. Integr. Bioinform. 19(3) (2022) - [j12]Madhumita, Sushmita Paul:
A Feature Weighting-Assisted Approach for Cancer Subtypes Identification From Paired Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1403-1414 (2022) - [c19]Jyoti Sharma, Khadija Sana Hafeez, Sushmita Paul:
Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS. CIBCB 2022: 1-8 - [c18]Sushmita Paul, Ratanjeet Pratap Chauhan, Srinibas Swain:
Novel Ways of Enumerating Restrained Dominating Sets of Cycles. ICS 2022: 135-144 - 2021
- [c17]Madhumita, Archit Dwivedi, Sushmita Paul:
Recursive Multi-view Integration for Subtypes Identification of Cervical Cancer. BIBM 2021: 706-709 - [c16]Madhumita, Sushmita Paul:
Autoencoder Assisted Cancer Subtyping by Integrating Multi-omics Data. PReMI 2021: 127-136 - [i1]Ratanjeet Pratap Chauhan, Sushmita Paul, Srinibas Swain:
Novel ways of enumerating restrained dominating sets of cycles. CoRR abs/2111.11140 (2021) - 2020
- [j11]Sushmita Paul, Madhumita:
RFCM3: Computational Method for Identification of miRNA-mRNA Regulatory Modules in Cervical Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1729-1740 (2020)
2010 – 2019
- 2019
- [j10]Namrata Pant, Somnath Rakshit, Sushmita Paul, Indrajit Saha:
Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer. J. Biomed. Informatics 97 (2019) - [j9]Sushmita Paul, Dhanajit Brahma:
An Integrated Approach for Identification of Functionally Similar MicroRNAs in Colorectal Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 183-192 (2019) - [c15]Madhumita, Sushmita Paul:
Importance of Feature Weighing in Cervical Cancer Subtypes Identification. BIBE 2019: 86-93 - [c14]Namrata Pant, Sushmita Paul:
Density-Based Clustering of Functionally Similar Genes Using Biological Knowledge. PReMI (2) 2019: 113-121 - 2018
- [c13]Sushmita Paul, Sonu Bansal:
Type 2 Diabetes Gene Identification Using an Integrated Approach from Single-Cell RNA Sequencing Data. BIBM 2018: 2152-2158 - [c12]Sushmita Paul, Madhumita:
Robust Computational Method for Identification of miRNA-mRNA Modules in Cervical Cancer. ICDM Workshops 2018: 740-747 - 2017
- [j8]Pradipta Maji, Ekta Shah, Sushmita Paul:
RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure. Inf. Sci. 384: 110-125 (2017) - [c11]Sushmita Paul, Shubham Talbar:
Machine Learning Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer. PReMI 2017: 438-447 - [c10]Sushmita Paul:
Integration of Gene Expression and Ontology for Clustering Functionally Similar Genes. IJCRS (1) 2017: 587-598 - 2016
- [j7]Sushmita Paul, Pradipta Maji:
Gene expression and protein-protein interaction data for identification of colon cancer related genes using f-information measures. Nat. Comput. 15(3): 449-463 (2016) - 2015
- [c9]Pradipta Maji, Ekta Shah, Sushmita Paul:
A New Similarity Measure for Identification of Disease Genes. PReMI 2015: 451-461 - [c8]Sushmita Paul, Julio Vera:
Supervised Cluster Analysis of miRNA Expression Data Using Rough Hypercuboid Partition Matrix. PReMI 2015: 482-494 - 2014
- [b1]Pradipta Maji, Sushmita Paul:
Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics. Springer 2014, ISBN 978-3-319-05629-6, pp. 1-297 - [j6]Sushmita Paul, Pradipta Maji:
Gene ontology based quantitative index to select functionally diverse genes. Int. J. Mach. Learn. Cybern. 5(2): 245-262 (2014) - 2013
- [j5]Sushmita Paul, Pradipta Maji:
µHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix. BMC Bioinform. 14: 266 (2013) - [j4]Pradipta Maji, Sushmita Paul:
Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering. Fundam. Informaticae 124(1-2): 153-174 (2013) - [j3]Pradipta Maji, Sushmita Paul:
Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 286-299 (2013) - [c7]Sushmita Paul, Pradipta Maji:
City Block Distance for Identification of Co-expressed MicroRNAs. SEMCCO (2) 2013: 387-396 - [p1]Pradipta Maji, Sushmita Paul:
Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance. Rough Sets and Intelligent Systems (2) 2013: 393-418 - 2012
- [c6]Sushmita Paul, Pradipta Maji:
Robust RFCM algorithm for identification of co-expressed miRNAs. BIBM 2012: 1-4 - [c5]Sushmita Paul, Pradipta Maji:
Rough sets and support vector machine for selecting differentially expressed miRNAs. BIBM Workshops 2012: 864-871 - [c4]Pradipta Maji, Sushmita Paul:
Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data. PerMIn 2012: 203-210 - [c3]Sushmita Paul, Pradipta Maji:
A New Rough-Fuzzy Clustering Algorithm and its Applications. SocProS 2012: 1245-1251 - 2011
- [j2]Pradipta Maji, Sushmita Paul:
Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data. Int. J. Approx. Reason. 52(3): 408-426 (2011) - [c2]Pradipta Maji, Sushmita Paul:
Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm. BIBM 2011: 269-272 - [c1]Sushmita Paul, Pradipta Maji:
Rough Sets for Selection of Functionally Diverse Genes from Microarray Data. SEMCCO (1) 2011: 477-484 - 2010
- [j1]Pradipta Maji, Sushmita Paul:
Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules. IEEE Trans. Syst. Man Cybern. Part C 40(6): 639-648 (2010)
Coauthor Index
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