Author

H. Skinner

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

A. Kanwar· 1 shared A. S. Mohamed· 1 shared A. Weninger· 1 shared A. Wong· 1 shared C. D. Fuller· 1 shared D. S. Mackin· 1 shared E. M. Glenny· 1 shared H. Elhalawani· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

A. Kanwar

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Purified diets containing high levels of soluble fiber and grain-based diets promote similar gastrointestinal morphometry yet distinct microbial communities

I. M. Carroll, E. M. Glenny, J. Liu, H. Skinner, T. McFarlane, K. Reed, Z. Djukic, A. Weninger, M. Pellizzon

This study compares the effects of grain-based diets and purified diets with varying fiber content on gut morphology and microbial communities in mice.

Applied and Environmental Microbiology · Nov 20, 2024Peer-reviewedMicrobiology

Imaging-Genomics Study Of Head-Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes And Genomic Mechanisms Via Integration Of TCGA And TCIA

Y. Zhu, A. S. Mohamed, S. Y. Lai, S. Yang, A. Kanwar, L. Wei, M. Kamal, S. Sengupta, H. Elhalawani, H. Skinner, D. S. Mackin, J. Shiao, J. Messer, A. Wong, Y. Ding, , C. D. Fuller

This study integrates radiomic and genomic data from HNSCC patients to find associations between imaging features and genomic biomarkers, achieving moderate predictive accuracy for HPV and TP53 mutation status.

JCO Clinical Cancer Informatics · Dec 1, 2019Peer-reviewedCancer Biology