Author

John Jake Ryan

University of UtahORCID 0000-0002-9203-5512Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Brent D. Wilson· 1 shared Chiang‐Ching HuangiD· 1 shared Jungwha Julia LeeiD· 1 shared Kathleen AreniD· 1 shared Lauren Beussink‐NelsoniD· 1 shared Michael L. WhitfieldiD· 1 shared Monique HinchcliffiD· 1 shared Rahul C. DeoiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 paperGenomics

Brent D. Wilson

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Machine Learning of the Cardiac Phenome and Skin Transcriptome to Categorize Heart Disease in Systemic Sclerosis

Monique Hinchcliff, Tracy Frech, Tammara A. Wood, Chiang‐Ching Huang, Jungwha Julia Lee, Kathleen Aren, John Jake Ryan, Brent D. Wilson, Lauren Beussink‐Nelson, Michael L. Whitfield, Rahul C. Deo, Sanjiv Jayendra Shah

This paper uses machine learning to classify heart disease subgroups in systemic sclerosis using echocardiographic and skin transcriptome data, identifying distinct phenotypes and associated molecular pathways.

bioRxiv · Nov 3, 2017 · PreprintGenomics