Showing results (61-70 of 171) with videos related to

Sort By:
Pageof 18
Genomics, Proteomics & Bioinformatics|December 4, 2012
miRT: a database of validated transcription start sites of human microRNAsMalay Bhattacharyya, Manali Das, Sanghamitra Bandyopadhyay
IEEE Transactions on Bio-Medical Engineering|October 4, 2012
An interactive approach to multiobjective clustering of gene expression patternsAnirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Plos One|December 12, 2024
Integration of biological data via NMF for identification of human disease-associated gene modules through multi-label classificationSyed Alberuni, Sumanta Ray
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 29, 2016
Discovering Perturbation of Modular Structure in HIV Progression by Integrating Multiple Data Sources Through Non-Negative Matrix FactorizationSumanta Ray, Ujjwal Maulik
Frontiers in Genetics|May 2, 2022
A Regularized Multi-Task Learning Approach for Cell Type Detection in Single-Cell RNA Sequencing DataPiu Upadhyay, Sumanta Ray
Scientific Reports|March 10, 2017
Identifying differentially coexpressed module during HIV disease progression: A multiobjective approachSumanta Ray, Ujjwal Maulik
Journal of Neuroscience Research|March 26, 2010
Diverse roles of extracellular calcium-sensing receptor in the central nervous systemSanghamitra Bandyopadhyay, Jacob Tfelt-Hansen, Naibedya Chattopadhyay
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|October 27, 2004
Multiobjective GAs, quantitative indices, and pattern classificationSanghamitra Bandyopadhyay, Sankar K Pal, B Aruna
Molecular and Cellular Endocrinology|March 19, 2008
Kaempferol and quercetin stimulate granulocyte-macrophage colony-stimulating factor secretion in human prostate cancer cellsSanghamitra Bandyopadhyay, Jose R Romero, Naibedya Chattopadhyay
Briefings in Bioinformatics|May 15, 2023
A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detectionKoushik Mallick, Sikim Chakraborty, Saurav Mallik, et al.
Pageof 18