Author

Justin Stephen Williams

St. Jude Children's Research HospitalORCID 0000-0002-0195-5509Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Xiang 'Anthony' CheniD· 2 shared Andrew ThrasheriD· 1 shared Beisi XuiD· 1 shared Bensheng JuiD· 1 shared Celeste D. RosencranceiD· 1 shared Changde ChengiD· 1 shared Chunliang LiiD· 1 shared Daniel K. PutnamiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenomics

Xiang 'Anthony' ChenORCID

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2 papers

Recent·Most cited

GenomicsGenome biologyPeer-reviewedJan 18, 2021

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors

Justin Stephen Williams, Beisi Xu, Daniel K. Putnam…·Xiang 'Anthony' Chen

MethylationToActivity infers promoter activity from DNA methylation data in tumors, showing high accuracy across multiple cancer types.

11 citations

humanDNA methylation

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BioinformaticsNucleic Acids ResearchPeer-reviewedSep 26, 2019

LCA robustly reveals subtle diversity in large-scale single-cell RNA-seq data

Changde Cheng, John B. Easton, Celeste D. Rosencrance…·Xiang 'Anthony' Chen

LCA identifies subtle cell population diversity in large-scale single-cell RNA-seq data using a dual-space model with spectral clustering and technical variation control.

37 citations

scRNA-seqmachine learning (classical)

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