Author

Daniel D. Von Hoff

Translational Genomics Research InstituteORCID 0000-0003-4723-7681Unclaimed 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:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ahuva Odenheimer-Bergman· 1 shared Ajay GoeliD· 1 shared Bethine Moore· 1 shared Bradon R. McDonaldiD· 1 shared Carlos BecerraiD· 1 shared Chaoyong James YangiD· 1 shared Chunming Wang· 1 shared Elizabeth A. RaupachiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Ahuva Odenheimer-Bergman

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2 papers

Recent·Most cited

GenomicsScience Translational MedicinePeer-reviewedFeb 17, 2021

Sub-nucleosomal organization in urine cell-free DNA

Havell Markus, Jun Zhao, Tania Contente‐Cuomo…·Muhammed Murtaza

This study characterizes urine cfDNA fragmentation patterns and shows they reflect sub-nucleosomal organization, with potential for cancer diagnostics.

98 citationstop 2%

humanDNA methylation

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedFeb 17, 2019

SuperCT: A supervised-learning-framework to enhance the characterization of single-cell transcriptomic profiles

Peng Xie, Mingxuan Gao, Chunming Wang…·Wei Lin

SuperCT improves single-cell transcriptomic analysis by using a supervised classifier to accurately identify cell types from RNA expression profiles, outperforming traditional unsupervised methods.

74 citations

scRNA-seqmachine learning (classical)

𝕏 PostBluesky