Author

Arpita Saha

Bangladesh University of Engineering and TechnologyORCID 0000-0002-6235-8126Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 3 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

M. Sohel RahmaniD· 3 shared Shashata SawmyaiD· 3 shared Sadia TasnimiD· 2 shared Ajwad Akil· 1 shared Ali Haisam Muhammad RafidiD· 1 shared Gourab Saha· 1 shared Md. Saifur RahmaniD· 1 shared Md. Shamsuzzoha BayzidiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

3 shared papersBioinformatics

M. Sohel RahmanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedMar 27, 2024

PRIEST - Predicting viral mutations with immune escape capability of SARS-CoV-2 using temporal evolutionary information

Gourab Saha, Shashata Sawmya, Arpita Saha…·M. Sohel Rahman

PRIEST predicts SARS-CoV-2 mutations with immune escape potential using temporal evolutionary data and deep learning.

4 citations

𝕏 PostBluesky

BioinformaticsJournal of Computational BiologyPeer-reviewedSep 1, 2022

QT-GILD: Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data

Sazan Mahbub, Shashata Sawmya, Arpita Saha…·Md. Shamsuzzoha Bayzid

QT-GILD improves species tree estimation by imputing missing quartets from incomplete gene trees using deep learning, enhancing accuracy despite data gaps.

9 citations

deep learningphylogenetics / evolution

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 3, 2020

Analyzing hCov Genome Sequences: Predicting Virulence and Mutation

Shashata Sawmya, Arpita Saha, Sadia Tasnim…·M. Sohel Rahman

The paper develops a pipeline to classify SARS-CoV-2 genome sequences for virulence and predict mutations using deep learning.

9 citations

viruswhole-genome sequencing

𝕏 PostBluesky