Author

Joseph G. Kern

Boston UniversityORCID 0000-0003-2291-6020Unclaimed 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:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Stefano MontiiD· 2 shared Xaralabos VarelasiD· 2 shared Anthony N. FedericoiD· 1 shared Liye ZhangiD· 1 shared Paola Sebastiani BiD· 1 shared Vinay K. KarthaiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Stefano MontiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 27, 2021

Structure Learning for Hierarchical Regulatory Networks

Anthony N. Federico, Joseph G. Kern, Xaralabos Varelas, Stefano Monti

SHINE improves network structure learning from high-dimensional data with limited samples by leveraging shared structural information across multiple networks.

DOI 10.1101/2021.05.27.446022

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsFrontiers in GeneticsPeer-reviewedFeb 19, 2019

CaDrA: A computational framework for performing candidate driver analyses using binary genomic features

Vinay K. Kartha, Joseph G. Kern, Paola Sebastiani B…·Stefano Monti

CaDrA identifies functionally relevant subsets of binary genomic features associated with specific outcomes, showing sensitivity and specificity in cancer datasets.

12 citations

humanwhole-exome sequencing

𝕏 PostBluesky