Author

John Ziegler

Memorial Sloan Kettering Cancer Center

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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Ahmet ZehiriD· 1 shared Chad VanderbiltiD· 1 shared Deborah F. DeLairiD· 1 shared Gowtham JayakumaraniD· 1 shared Jacklyn CasanovaiD· 1 shared Jaclyn Frances HechtmaniD· 1 shared Jinru ShiaiD· 1 shared Marc LadanyiiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ahmet ZehirORCID

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1 paper

Recent·Most cited

MiMSI - a deep multiple instance learning framework improves microsatellite instability detection from tumor next-generation sequencing

John Ziegler, Jaclyn Frances Hechtman, Ryan N. Ptashkin, Gowtham Jayakumaran, Sumit Middha, Shweta S. Chavan, Chad Vanderbilt, Deborah F. DeLair, Jacklyn Casanova, Jinru Shia, Nicole DeGroat, Ryma Benayed, Marc Ladanyi, Michael F. Berger, Thomas J. Fuchs, Ahmet Zehir

MiMSI improves MSI detection in low tumor purity samples using deep learning and multiple instance learning, achieving higher sensitivity and auROC than existing methods.

bioRxiv · Sep 16, 2020 · PreprintBioinformatics