Author

N. Chirmule

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

D. Agrawal· 1 shared G. Rodrigues· 1 shared L. Vashishta· 1 shared M. Chakarborty· 1 shared M. Ghosh· 1 shared M. Rao· 1 shared M. S. Madhusudhan· 1 shared P. Bapat· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCancer Biology

D. Agrawal

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2 papers

Recent·Most cited

An explainable machine learning data analytics method using TIGIT-linked genes for identifying biomarker signatures to clinical outcomes.

S. G, D. Agrawal, S. Bhat, T. Mandal, S. Kashipathi, M. S. Madhusudhan, G. Rodrigues, M. Ghosh, N. Chirmule

The paper develops an explainable machine learning model using TIGIT-linked genes to predict survival outcomes in breast cancer patients.

bioRxiv · Dec 5, 2023 · PreprintCancer Biology

A survey of Rare Disease awareness among healthcare professionals and researchers in India

L. Vashishta, P. Bapat, Y. Battacharya, M. Chakarborty, N. Chirmule, S. D'Costa, S. Jindani, M. Rao, S. Sheth

This study surveys RD awareness among healthcare professionals and researchers in India, finding low awareness and recommending improved campaigns and policies.

bioRxiv · Mar 31, 2023 · PreprintScientific Communication & Education