Author

Jonathan Taylor

Stanford UniversityORCID 0000-0002-1716-7160Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Aaron E. ChiouiD· 1 shared Alice YuiD· 1 shared Christine Y. YehiD· 1 shared Irene LiiD· 1 shared Joseph B. ShrageriD· 1 shared Michael G. OzawaiD· 1 shared Rafael A. IrizarryiD· 1 shared Sylvia K. PlevritisiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aaron E. ChiouORCID

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2 papers

Recent·Most cited

BioinformaticsScience AdvancesPeer-reviewedMar 18, 2022

Reconstructing co-dependent cellular crosstalk in lung adenocarcinoma using REMI

Alice Yu, Yuanyuan Li, Irene Li…·Sylvia K. Plevritis

The paper introduces REMI, a graph-based method to reconstruct cell-cell interactions in lung adenocarcinoma by accounting for ligand-receptor dependencies, and validates its findings experimentally.

14 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsJournal of the American Statistical AssociationPeer-reviewedJul 18, 2018

Selection Corrected Statistical Inference for Region Detection with High-throughput Assays

Yuval Benjamini, Jonathan Taylor, Rafael A. Irizarry

The paper presents a statistical method to correct selection bias in region detection from high-throughput assays, improving population inference and comparison of regions with different properties.

6 citations

DNA methylationstatistical model

𝕏 PostBluesky