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Jit Sarkar
Jit Sarkar
Senior Bioinformatics Scientist, Elucidata
Verified email at elucidata.io
Title
Cited by
Cited by
Year
A machine learning model reveals older age and delayed hospitalization as predictors of mortality in patients with COVID-19
J Sarkar, P Chakrabarti
MedRxiv, 2020.03. 25.20043331, 2020
552020
Increased plasma dipeptidyl peptidase-4 (DPP4) activity is an obesity-independent parameter for glycemic deregulation in type 2 diabetes patients
J Sarkar, T Nargis, O Tantia, S Ghosh, P Chakrabarti
Frontiers in endocrinology 10, 505, 2019
332019
Insights from a Pan India sero-epidemiological survey (phenome-India cohort) for SARS-CoV2
S Naushin, V Sardana, R Ujjainiya, N Bhatheja, R Kutum, AK Bhaskar, ...
Elife 10, e66537, 2021
282021
Increased detection coupled with social distancing and health capacity planning reduce the burden of covid-19 cases and fatalities: A proof of concept study using a stochastic …
P Ghosh, S Basheer, S Paul, P Chakrabarti, J Sarkar
MedRxiv, 2020.04. 05.20054775, 2020
202020
DBC1, p300, HDAC3, and Siah1 coordinately regulate ELL stability and function for expression of its target genes
S Basu, M Barad, D Yadav, A Nandy, B Mukherjee, J Sarkar, ...
Proceedings of the National Academy of Sciences 117 (12), 6509-6520, 2020
202020
Identification and epidemiological characterization of type-2 diabetes sub-population using an unsupervised machine learning approach
S Bej, J Sarkar, S Biswas, P Mitra, P Chakrabarti, O Wolkenhauer
Nutrition & Diabetes 12 (1), 27, 2022
142022
Prion-derived tetrapeptide stabilizes thermolabile insulin via conformational trapping
M Mukherjee, D Das, J Sarkar, N Banerjee, J Jana, J Bhat, J Reddy, ...
Iscience 24 (6), 2021
72021
Distinct pathoclinical clusters among patients with uncontrolled type 2 diabetes: results from a prospective study in rural India
MR Aravindakshan, SK Maity, A Paul, P Chakrabarti, C Mandal, J Sarkar
BMJ Open Diabetes Research and Care 10 (1), e002654, 2022
62022
Impaired compensatory hyperinsulinemia among nonobese type 2 diabetes patients: a cross-sectional study
J Sarkar, SK Maity, A Sen, T Nargis, D Ray, P Chakrabarti
Therapeutic Advances in Endocrinology and Metabolism 10, 2042018819889024, 2019
62019
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