Author

Maloy Ghosh

ORCID 0000-0001-5161-8917Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Divya Agrawal· 1 shared G Soorya· 1 shared Golding Rodrigues· 1 shared Mallur Srivatsan MadhusudhaniD· 1 shared Narendra B. ChirmuleiD· 1 shared Shalini Kashipathi SureshbabuiD· 1 shared Shilpa Bhat· 1 shared Tirtha Mandal· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperCancer Biology

Divya Agrawal

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintDec 5, 2023

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

G Soorya, Divya Agrawal, Shilpa Bhat…·Narendra B. Chirmule

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

DOI 10.1101/2023.12.05.570321

humanwhole-genome sequencing

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