Detecting the Common Biomarkers for Early Stage Parkinson's Disease and Early Stage Alzheimer's Disease Associated with Intrinsically Disordered Protein. - Sagnik Sen 002; Ujjwal Maulik (ICACDS (1), 2018)

Understanding the evolutionary trend of intrinsically structural disorders in cancer relevant proteins as probed by Shannon entropy scoring and structure network analysis. - Sagnik Sen 002; Ashmita Dey; Sourav Chowdhury; Ujjwal Maulik; Krishnananda Chattopadhyay (BMC Bioinform., 2019)

A two-stage approach towards protein secondary structure classification. - Kushal Kanti Ghosh; Soulib Ghosh; Sagnik Sen 002; Ram Sarkar; Ujjwal Maulik (Medical Biol. Eng. Comput., 2020)

Quantum squirrel inspired algorithm for gene selection in methylation and expression data of prostate cancer. - Manosij Ghosh; Sagnik Sen 002; Ram Sarkar; Ujjwal Maulik (Appl. Soft Comput., 2021)

Understanding structural malleability of the SARS-CoV-2 proteins and relation to the comorbidities. - Sagnik Sen 002; Ashmita Dey; Sanghamitra Bandhyopadhyay; Vladimir N. Uversky; Ujjwal Maulik (Briefings Bioinform., 2021)

Unveiling COVID-19-associated organ-specific cell types and cell-specific pathway cascade. - Ashmita Dey; Sagnik Sen 002; Ujjwal Maulik (Briefings Bioinform., 2021)

A Survey on Fuzzy Deep Neural Networks. - Rangan Das; Sagnik Sen 002; Ujjwal Maulik (ACM Comput. Surv., 2021)

Application of active learning in DNA microarray data for cancerous gene identification. - Shemim Begum; Ram Sarkar; Debasis Chakraborty; Sagnik Sen 002; Ujjwal Maulik (Expert Syst. Appl., 2021)

Study of transcription factor druggabilty for prostate cancer using structure information, gene regulatory networks and protein moonlighting. - Ashmita Dey; Sagnik Sen 002; Ujjwal Maulik (Briefings Bioinform., 2022)

Multi-path Convolutional Neural Network to Identify Tumorous Sub-classes for Breast Tissue from Histopathological Images. - Rangan Das; Utsav Bandyopadhyay Maulik; Bikram Boote; Sagnik Sen 002; Saumik Bhattacharya (SN Comput. Sci., 2022)