Author

Jeya Balaji Balasubramanian

University of PittsburghORCID 0000-0002-0025-8410Unclaimed ORCID profile · follow to get notified of new preprints

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

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Kevin E. KipiD· 1 shared Steven E. ReísiD· 1 shared Vanathi GopalakrishnaniD· 1 shared

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2019-2019 · peak 1/yr

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Kevin E. KipORCID

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1 paper

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BioinformaticsbioRxivPreprintSep 27, 2019

Knowledge discovery with Bayesian Rule Learning for actionable biomedicine

Jeya Balaji Balasubramanian, Kevin E. Kip, Steven E. Reís, Vanathi Gopalakrishnan

This paper introduces BRL-KD, a Bayesian Rule Learning extension that incorporates clinical utility to generate interpretable models for cardiovascular disease prediction, balancing statistical significance and clinical relevance.

DOI 10.1101/785279

Bayesian inferencestatistical model

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