Author

Kevin C. Chen

Rutgers, The State University of New JerseyPrimary ORCID profile (0000-0002-1004-8310 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Kevin C. CheniD2 papers · Rice University

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Jimin SongiD· 2 shared Liyang DiaoiD· 2 shared Antoine Marcais· 1 shared Barbara ViljetićiD· 1 shared H. R. Sagara WijeratneiD· 1 shared Jinchuan XingiD· 1 shared Jixia Liu· 1 shared Marina Dutre-Clarke· 1 shared

Activity by Year

2014-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Jimin SongORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Multiple roles of PIWIL1 in mouse neocorticogenesis

Barbara Viljetić, Liyang Diao, Jixia Liu, Željka Krsnik, H. R. Sagara Wijeratne, Ryan Kristopovich, Marina Dutre-Clarke, Matthew L. Kraushar, Jimin Song, Jinchuan Xing, Kevin C. Chen, Mladen‐Roko Rašin

This study investigates the role of Piwil1 in mouse neocorticogenesis, finding it essential for cell cycle, neuron migration, and dendritogenesis, with effects independent of piRNA expression.

bioRxiv · Feb 5, 2017 · PreprintNeuroscience

MixMir: microRNA motif discovery from gene expression data using mixed linear models

LIYANG Diao, Antoine Marcais, Scott Norton, Kevin C. Chen

MixMir identifies active microRNAs using mixed linear models, outperforming existing methods in mouse and human experiments.

Nucleic Acids Research · Jul 31, 2014Peer-reviewedGenomics

Spectacle: Faster and more accurate chromatin state annotation using spectral learning

Jimin Song, Kevin C. Chen

Spectacle improves chromatin state annotation by using spectral learning and local optimization, outperforming EM-based methods on histone modification data.

bioRxiv · Mar 9, 2014 · PreprintBioinformatics