| Machine learning applications for mass spectrometry-based metabolomics UW Liebal, ANT Phan, M Sudhakar, K Raman, LM Blank Metabolites 10 (6), 243, 2020 | 271 | 2020 |
| Mycobacterium tuberculosis (Mtb) lipid mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival K Sachdeva, M Goel, M Sudhakar, M Mehta, R Raju, K Raman, A Singh, ... Journal of Biological Chemistry 295 (27), 9192-9210, 2020 | 31 | 2020 |
| Novel ratio-metric features enable the identification of new driver genes across cancer types M Sudhakar, R Rengaswamy, K Raman Scientific Reports 12 (1), 5, 2022 | 9 | 2022 |
| Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes M Sudhakar, R Rengaswamy, K Raman Frontiers in Genetics 13, 854190, 2022 | 6 | 2022 |
| 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 |
| Robust lysosomal rewiring in Mtb infected macrophages mediated by Mtb lipids restricts the intracellular bacterial survival K Sachdeva, M Goel, M Sudhakar, M Mehta, R Raju, K Raman, A Singh, ... bioRxiv, 845800, 2019 | 2 | 2019 |
| Crosstalk between tumor and microenvironment: Insights from spatial transcriptomics. M Sudhakar, H Vignesh, KN Natarajan Advances in Cancer Research 163, 187-222, 2024 | | 2024 |
| Multi-omic data helps improve prediction of personalised tumor suppressors and oncogenes M Sudhakar, R Rengaswamy, K Raman bioRxiv, 2022.01. 13.476163, 2022 | | 2022 |
Karthik RamanProfessor, Department of Data Science and AI, Wadhwani School of Data Science and AI, IIT Madras在 iitm.ac.in 的电子邮件经过验证