Author

Sashank Batchu

University of Washington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:mixed model· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Basilin BensoniD· 1 shared Catherine M. SteiniD· 1 shared Harriet Mayanja‐KizzaiD· 1 shared Kiana Mitchell· 1 shared Kimberly A. Dill‐McFarlandiD· 1 shared Madison S CoxiD· 1 shared Matthew C. AltmaniD· 1 shared Penelope H. BenchekiD· 1 shared

Activity by Year

2023-2023 · 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

1 shared paperBioinformatics

Basilin BensonORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

kimma: flexible linear mixed effects modeling with kinship for RNA-seq data

Kimberly A. Dill‐McFarland, Kiana Mitchell, Sashank Batchu, R. Max Segnitz, Basilin Benson, Tomasz Janczyk, Madison S Cox, Harriet Mayanja‐Kizza, W. Henry Boom, Penelope H. Benchek, Catherine M. Stein, Thomas R. Hawn, Matthew C. Altman

kimma is an R package for linear mixed effects modeling of RNA-seq data, offering improved sensitivity and model complexity compared to existing pipelines.

Bioinformatics · May 1, 2023Peer-reviewedBioinformatics