Author

Argha Bandyopadhyay

The University of Texas at AustinORCID 0000-0002-4462-0848Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Marcel P Goldschen-OhmiD· 2 shared Khue Tran· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Marcel P Goldschen-OhmORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 12, 2021

smBEVO: A computer vision approach to rapid baseline correction of single-molecule time series

Khue Tran, Argha Bandyopadhyay, Marcel P Goldschen-Ohm

The paper introduces smBEVO, a computer vision method for efficiently correcting baseline drift in single-molecule time series.

DOI 10.1101/2021.11.12.468397

experimental assay

𝕏 PostBluesky

BioinformaticsBiophysical JournalPeer-reviewedSep 3, 2021

Unsupervised selection of optimal single-molecule time series idealization criterion

Argha Bandyopadhyay, Marcel P Goldschen-Ohm

The paper develops an unsupervised method to select the optimal objective criterion for the DISC algorithm, improving performance on single-molecule fluorescence time series with varying signal-to-noise and time window lengths.

9 citations

machine learning (classical)benchmarking

𝕏 PostBluesky