Author

Daniel M. Cizin

Cornell University

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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Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Akio YamashitaiD· 1 shared Alexander Kerelsky· 1 shared Alexandre MaucueriD· 1 shared Alexei DegtereviD· 1 shared Alexey G. Ryazanov· 1 shared Amit RegeviD· 1 shared Anne E. van VlimmereniD· 1 shared Benjamin David HopkinsiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Akio YamashitaORCID

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Author profile →

2 papers

Recent·Most cited

A global atlas of substrate specificities for the human serine/threonine kinome

Jared Lee Johnson, Tomer M. Yaron, Emily M. Huntsman, Alexander Kerelsky, Junho Song, Amit Regev, Ting-Yu Lin, Katarina M. Liberatore, Daniel M. Cizin, Benjamin M. Cohen, Neil Vasan, Yilun Ma, Konstantin Krismer, Jaylissa Torres Robles, Bert van de Kooij, , Lewis C. Cantley

Positional scanning peptide arrays profile substrate sequence specificities across 303 human serine/threonine kinases, enabling computational kinase-substrate annotation and signaling pathway inference across the human phosphoproteome.

Nature · Jan 11, 2023Peer-reviewedSystems Biology✦ In-depth digest

Deep Mendelian Randomization: Investigating the causal knowledge of genomic deep learning models

Stephen Malina, Daniel M. Cizin, David A. Knowles

This paper introduces DeepMR, a method to estimate causal relationships between genomic marks using deep learning models, and applies it to validate and discover new TF relationships in reprogramming.

PLoS Computational Biology · Oct 20, 2022Peer-reviewedGenomics