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Shayantan Banerjee
Shayantan Banerjee
Indian Institute of Technology Bombay
在 iitb.ac.in 的电子邮件经过验证
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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
492021
Sequence neighborhoods enable reliable prediction of pathogenic mutations in cancer genomes
S Banerjee, K Raman, B Ravindran
Cancers 13 (10), 2366, 2021
52021
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
42022
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
22024
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
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