Author

Andrew Srisuwananukorn

University of Illinois ChicagoORCID 0000-0002-8736-8726Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Akash PatnaikiD· 1 shared Alexander T. PearsoniD· 1 shared Amelie EchleiD· 1 shared Andrew M. Hanby· 1 shared Chiara Maria Lavinia LoeffleriD· 1 shared Christian TrautweiniD· 1 shared Dirk Jäger· 1 shared Hannah Sophie MutiiD· 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 paperGenetics

Akash PatnaikORCID

Mutual co-authors in cluster

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1 paper

Recent·Most cited

Pan-cancer image-based detection of clinically actionable genetic alterations

Jakob Nikolas Kather, Lara Rosaline Heij, Heike Irmgard Grabsch, Chiara Maria Lavinia Loeffler, Amelie Echle, Hannah Sophie Muti, Jeremias Krause, Jan Niehues, Kai A. J. Sommer, Peter Bankhead, Loes F. S. Kooreman, Jefree J. Schulte, Nicole A. Cipriani, Roman David Buelow, Peter Boor, , Tom Luedde

This paper develops a deep learning method to predict genetic alterations from histological images across multiple cancer types.

Nature Cancer · Jul 27, 2020Peer-reviewedGenetics