Machine learning identifies complicated sepsis course and subsequent mortality based on 20 genes in peripheral blood immune cells at 24 H Post-ICU admission S Banerjee, A Mohammed, HR Wong, N Palaniyar, R Kamaleswaran Frontiers in immunology 12, 361, 2021 | 51 | 2021 |
Sequence neighborhoods enable reliable prediction of pathogenic mutations in cancer genomes S Banerjee, K Raman, B Ravindran Cancers 13 (10), 2366, 2021 | 5 | 2021 |
iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data A Anilkumar Sithara, DP Maripuri, K Moorthy, SS Amirtha Ganesh, ... NAR Genomics and Bioinformatics 4 (3), lqac053, 2022 | 4 | 2022 |
Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness MR Atreya*, S Banerjee*, AJ Lautz, MN Alder, BM Varisco, HR Wong, ... EBioMedicine 99, 2024 | 3 | 2024 |
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes. Cancers 2021, 13, 2366 S Banerjee, K Raman, B Ravindran s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |