Author

J. St. John

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

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

B. White· 2 shared A. Drake· 1 shared A. Gerger· 1 shared A. Kannan· 1 shared A. Sharma· 1 shared A. Tzou· 1 shared A. Wölfler· 1 shared A. Zebisch· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

B. White

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2 papers

Recent·Most cited

Inference of tumor cell-specific transcription factor binding from cell-free DNA enables tumor subtype prediction and early detection of cancer

P. Ulz, S. Perakis, Q. Zhou, T. Moser, J. Belic, I. Lazzeri, A. Wölfler, A. Zebisch, A. Gerger, G. Pristauz, E. Petru, B. White, C. E. S. Roberts, J. St. John, M. G. Schimek, , M. R. Speicher

This study infers tumor cell-specific transcription factor binding from cell-free DNA to predict tumor subtypes and detect cancer early.

bioRxiv · Mar 31, 2019 · PreprintCancer Biology

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

N. Wan, D. Weinberg, T.-y. Liu, K. Niehaus, D. Delubac, A. Kannan, B. White, E. Ariazi, M. Bailey, M. Bertin, N. Boley, D. Bowen, J. Cregg, A. Drake, R. Ennis, , I. S. Haque

This paper uses machine learning on whole-genome sequencing of plasma cell-free DNA to detect early-stage colorectal cancer with high sensitivity and specificity.

bioRxiv · Nov 24, 2018Cancer Biology