Author

Joshua Batson

Chan Zuckerberg Biohub San FranciscoORCID 0000-0002-9244-2142Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Joshua Batson1 paper

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

James T. WebberiD· 2 shared Agniva Chowdhury· 1 shared Alex Espinosa· 1 shared Amy L. KistleriD· 1 shared Andreas S. PuschnikiD· 1 shared Angela M. DetweileriD· 1 shared Cristina M. TatoiD· 1 shared David DynermaniD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMolecular Biology

James T. WebberORCID

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3 papers

Recent·Most cited

Patch2Self denoising of Diffusion MRI with Self-Supervision and Matrix Sketching

Shreyas Fadnavis, Agniva Chowdhury, Joshua Batson, Petros Drineas B, Eleftherios Garyfallidis

This paper introduces Patch2Self (P2S), a self-supervised denoising method for diffusion MRI, and its optimized version P2S-sketch, which improves speed and memory usage without sacrificing denoising quality.

bioRxiv · Mar 15, 2022 · PreprintNeuroscience

Identification of a polymorphism in the N gene of SARS-CoV-2 that adversely impacts detection by a widely-used RT-PCR assay

Manu Vanaerschot, Sabrina A Mann, James T. Webber, Jack Kamm, Sidney M. Bell, John Bell, Si Noon Hong, Minh Phuong Nguyen, Lienna Y. Chan, Karan D. Bhatt, Michelle Tan, Angela M. Detweiler, Alex Espinosa, Wesley C. H. Wu, Joshua Batson, , Emily D. Crawford

The paper identifies a SARS-CoV-2 N gene polymorphism that reduces RT-PCR assay sensitivity and emphasizes the need for multi-target testing.

bioRxiv · Aug 25, 2020 · PreprintMolecular Biology

Molecular Cross-Validation for Single-Cell RNA-seq

Joshua Batson, Löıc A. Royer, James T. Webber

The paper introduces molecular cross-validation to select and calibrate denoising methods for single-cell RNA-seq data without ground-truth, showing it correctly identifies optimal parameters and best methods.

bioRxiv · Sep 30, 2019 · PreprintBioinformatics