Author

Piyali Ganguli

National Chemical LaboratoryORCID 0000-0002-9670-3928Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Gauri PanditraoiD· 1 shared Ram Rup SarkariD· 1 shared Sutanu NandiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Gauri PanditraoORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 25, 2022

PRESGENE: A web server for PRediction of ESsential GENE using integrative machine learning strategies

Sutanu Nandi, Gauri Panditrao, Piyali Ganguli, Ram Rup Sarkar

PRESGENE is a web server that predicts essential genes in non-model organisms using machine learning, addressing dataset imbalance and limited labeled data challenges.

DOI 10.1101/2022.11.25.517801

machine learning (classical)software / tool