| An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features S Nandi, A Subramanian, RR Sarkar Molecular BioSystems 13 (8), 1584-1596, 2017 | 39 | 2017 |
| Machine learning prediction of interaction energies in rigid water clusters S Bose, D Dhawan, S Nandi, RR Sarkar, D Ghosh Physical Chemistry Chemical Physics 20 (35), 22987-22996, 2018 | 18 | 2018 |
| Essential gene prediction using limited gene essentiality information–An integrative semi-supervised machine learning strategy S Nandi, P Ganguli, RR Sarkar Plos one 15 (11), e0242943, 2020 | 12 | 2020 |
| Deep learning methods for scientific and industrial research GK Patra, KR Bhimala, A Marndi, S Chowdhury, J Rahaman, S Nandi, ... Elsevier, 2023 | 4 | 2023 |
| Prediction of survival rate and effect of drugs on cancer patients with somatic mutations of genes: An AI‐based approach R Saurabh, S Nandi, N Sinha, M Shukla, RR Sarkar Chemical Biology & Drug Design 96 (3), 1005-1019, 2020 | 4 | 2020 |
| BIOPYDB: a dynamic human cell specific biochemical pathway database with advanced computational analyses platform S Chowdhury, N Sinha, P Ganguli, R Bhowmick, V Singh, S Nandi, ... Journal of integrative bioinformatics 15 (3), 2018 | 3 | 2018 |
| Temporal Analysis of COVID-19 Pandemic in India and R0 prediction K Patil, A Murali, P Ganguli, S Nandi, RR Sarkar | 2 | 2020 |
| A PREDICTIVE TRUST MODEL FOR E-COMMERCE APPLICATIONS. S NANDI, K ANUSHA, GV RAJYALAKSHMI Journal of Theoretical & Applied Information Technology 55 (2), 2013 | 2 | 2013 |
| PRESGENE: A web server for PRediction of ESsential GENE using integrative machine learning strategies S Nandi, G Panditrao, P Ganguli, RR Sarkar bioRxiv, 2022 | | 2022 |
| Artificial Intelligence and Machine Learning Techniques Using Omics Data for Cancer Diagnosis and Treatment P Gawade, S Nandi, C Meena, RR Sarkar Systems Biomedicine Approaches in Cancer Research, 23-50, 2022 | | 2022 |
| Development of machine learning strategies and integrated web platform for the prediction of essential genes S Nandi CSIR–National Chemical Laboratory, Pune, 2021 | | 2021 |
| On the Temporal Analysis of COVID-19 Pandemic and Prediction of R 0 K Patil, A Murali, P Ganguli, S Nandi, RR Sarkar Available at SSRN 3633240, 2020 | | 2020 |
| A Virtual Model For Currency Tracking Using Fuzzy Inference Rule In A Unique Identity Environment S Nandi, RK Nadesh Procedia Technology 10, 628-636, 2013 | | 2013 |
Ram Rup SarkarSenior Principal Scientist at CSIR-National Chemical Laboratory, Pune IndiaVerified email at ncl.res.in
