| Unbiased identification of blood-based biomarkers for pulmonary tuberculosis by modeling and mining molecular interaction networks A Sambarey, A Devaprasad, A Mohan, A Ahmed, S Nayak, ... EBioMedicine 15, 112-126, 2017 | 91 | 2017 |
| Meta-analysis of host response networks identifies a common core in tuberculosis A Sambarey, A Devaprasad, P Baloni, M Mishra, A Mohan, P Tyagi, ... NPJ systems biology and applications 3 (1), 4, 2017 | 52 | 2017 |
| Mining large-scale response networks reveals ‘topmost activities’ in Mycobacterium tuberculosis infection A Sambarey, K Prashanthi, N Chandra Scientific reports 3 (1), 2302, 2013 | 35 | 2013 |
| High IL-6 and low IL-15 levels mark the presence of TB infection: A preliminary study. S Chandrashekhara, A KR, A Sambarey, N Chandra Cytokine 81, 57-62, 2016 | 24 | 2016 |
| A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs JM Cicchese, A Sambarey, D Kirschner, JJ Linderman, ... Scientific Reports 11 (1), 5643, 2021 | 16 | 2021 |
| A molecular systems approach to modelling human skin pigmentation: identifying underlying pathways and critical components A Raghunath, A Sambarey, N Sharma, U Mahadevan, N Chandra BMC research notes 8, 1-12, 2015 | 16 | 2015 |
| Current trends in modeling host–pathogen interactions S Mukherjee, A Sambarey, K Prashanthi, N Chandra Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3 (2 …, 2013 | 10 | 2013 |
| Unbiased identification of blood-based biomarkers for pulmonary tuberculosis by modeling and mining molecular interaction networks. EBioMedicine 15, 112–126 A Sambarey, A Devaprasad, A Mohan, A Ahmed, S Nayak, ... | 5 | 2017 |
| Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis A Sambarey, K Smith, C Chung, HS Arora, Z Yang, PP Agarwal, ... Iscience 27 (2), 2024 | 1 | 2024 |
| Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis A Sambarey, K Smith, C Chung, HS Arora, Z Yang, P Agarwal, ... medRxiv, 2022 | | 2022 |
| King’s Research Portal A Sambarey, A Devaprasad, A Mohan, A Ahmed, S Nayak, ... | | 2016 |
| Efficacy of the Fuzzy Polynucleotide Space in Phylogenetic Tree Construction A Sambarey, A Deshpande Artificial Intelligence in Theory and Practice IV: 4th IFIP TC 12 …, 2015 | | 2015 |
| PS3-24 Structural profiles of cytokine families–Revisiting classification A Sambarey, N Chandra Cytokine 1 (52), 87, 2010 | | 2010 |
| Artificial Intelligence Techniques in Bio Medicine A Sambarey, A Deshpande, J Wong, W Lin, L Zhao, J Jia, L Feng, ... Artificial Intelligence 26, 36, 0 | | |
| Integrative Analysis of Multimodal Patient Data Identifies Efficacious Drug Regimens and Personalized Predictors of Tuberculosis Treatment Prognosis A Sambarey, K Smith, C Chung, HS Arora, Z Yang, PP Agarwal, ... Available at SSRN 4526525, 0 | | |
Nagasuma ChandraIndian Institute of ScienceVerified email at iisc.ac.in