Author

Daniel M. Konecki

ORCID 0000-0002-9729-5217Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Amanda M. KoireiD· 1 shared Angela D. Wilkins· 1 shared Brigitta WastuwidyaningtyasiD· 1 shared Byung Kwon Choi· 1 shared Chih-Hsu LiniD· 1 shared Jun QiniD· 1 shared Lawrence A. Donehower· 1 shared Matthew Valle HoltiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Amanda M. KoireORCID

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1 paper

Recent·Most cited

Automated literature mining and hypothesis generation through a network of Medical Subject Headings

Stephen Joseph Wilson, Angela D. Wilkins, Matthew Valle Holt, Byung Kwon Choi, Daniel M. Konecki, Chih-Hsu Lin, Amanda M. Koire, Yue Chen, Seon‐Young Kim, Yi Wang, Brigitta Wastuwidyaningtyas, Jun Qin, Lawrence A. Donehower, Olivier Lichtarge

This paper introduces MeTeOR, a method using MeSH terms to generate hypotheses from PubMed literature, showing improved reliability over existing methods and validating a new EGFR-CDK2 association.

bioRxiv · Aug 29, 2018 · PreprintBioinformatics