Author

Rishi Bedi

IDinsightORCID 0000-0002-4348-395XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alex RogozhnikoviD· 3 shared G. Sean EscolaiD· 3 shared Pavan RamkumariD· 3 shared Saul KatoiD· 3 shared Kevan D. ShahiD· 2 shared Alex A. PolleniD· 1 shared Andy Lash· 1 shared Anthony Batarse· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Alex RogozhnikovORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Hierarchical confounder discovery in the experiment-machine learning cycle

Alex Rogozhnikov, Pavan Ramkumar, Rishi Bedi, Saul Kato, G. Sean Escola

This paper introduces a non-parametric method to detect hierarchical confounders in biological datasets and demonstrates its application in biomedical image and multi-phenotypic data.

Patterns · Feb 22, 2022Peer-reviewedBioinformatics

Demuxalot: scaled up genetic demultiplexing for single-cell sequencing

Alex Rogozhnikov, Pavan Ramkumar, Kevan D. Shah, Rishi Bedi, Saul Kato, G. Sean Escola

Demuxalot improves genetic demultiplexing for single-cell RNA sequencing by enhancing accuracy and efficiency in multi-batch, multi-donor studies.

bioRxiv · May 22, 2021 · PreprintBioinformatics

Optimization and scaling of patient-derived brain organoids uncovers deep phenotypes of disease

Kevan D. Shah, Rishi Bedi, Alex Rogozhnikov, Pavan Ramkumar, Zhixiang Tong, Brian G. Rash, Morgan M. Stanton, Jordan M. Sorokin, Cagsar Apaydin, Anthony Batarse, Julia Bergamaschi, Robert M. Blattner, Spencer Brown, Anthony Bosshardt, Carlos Castrillo, , G. Sean Escola

This paper develops an automated system to scale patient-derived brain organoids, revealing consistent donor and batch effects and demonstrating reproducible disease phenotypes in tuberous sclerosis models.

bioRxiv · Aug 26, 2020 · PreprintNeuroscience