Sanghamitra Bandyopadhyay

TL;DR: The human genome wide TF-miRNA-gene network (TMG-net) is first built by combining experimentally validated and confidently predicted miRNAs, TF genes, TF→gene and TF→miRNA interactions, and a web application called DisTMGneT is developed for disease specific subnetworks from the TMG-net, based on user supplied sets of dysregulated miRNA, TFs and non TF genes.

TL;DR: A multiobjective genetic algorithm-based biclustering technique is proposed that simultaneously optimizes three objective functions to obtain dense biclusters having high mean interaction strengths.

TL;DR: A weighted ensemble classifier based on Dempster–Shafer belief theory is proposed to handle the inherent uncertainty in WiFi signal variations due to heterogeneous context and can lead to an effective expert system for indoor localization at varying granularity levels.

TL;DR: A new shortest path based hybrid measure of ontological similarity between two terms which combines both structure of the GO graph and information content of the terms is introduced.

TL;DR: A computational rule mining framework, StatBicRM, to identify special type of rules and potential biomarkers using integrated approaches of statistical and binary inclusion-maximal biclustering techniques from the biological datasets, which performs better than the other rule mining algorithms as it generates maximal frequent closed homogeneous itemsets instead of frequent itemsets.