Author

Jerry C. Wang

University of California, Los AngelesORCID 0000-0002-8535-8460Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Daniel H. GeschwindiD· 2 shared Gokul RamaswamiiD· 2 shared Chloe C. Y. WongiD· 1 shared Hyejung WoniD· 1 shared Jillian R. HaneyiD· 1 shared Jonathan S. MilliD· 1 shared Michael J. GandaliD· 1 shared Shyam PrabhakariD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Daniel H. GeschwindORCID

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2 papers

Recent·Most cited

Gene co-expression network analysis in human spinal cord highlights mechanisms underlying amyotrophic lateral sclerosis susceptibility

Jerry C. Wang, Gokul Ramaswami, Daniel H. Geschwind

The paper identifies gene co-expression modules in human spinal cord RNA-seq data that are dysregulated in ALS, linking them to specific biological processes and cell types involved in disease.

Scientific Reports · Mar 11, 2021Peer-reviewedGenomics

Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism

Gokul Ramaswami, Hyejung Won, Michael J. Gandal, Jillian R. Haney, Jerry C. Wang, Chloe C. Y. Wong, Wenjie Sun, Shyam Prabhakar, Jonathan S. Mill, Daniel H. Geschwind

The paper identifies a convergent molecular subtype in ASD by integrating epigenomic and transcriptomic data, revealing shared dysregulation and links to immune processes and genetic risk variants.

Nature Communications · Sep 25, 2020Peer-reviewedGenomics