Author

Maxwell W Libbrecht

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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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Jeffrey A Bilmes· 2 shared David M Gilbert· 1 shared Ferhat Ay· 1 shared Kai Wei· 1 shared Michael M Hoffman· 1 shared William Noble· 1 shared William Stafford NobleiD· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Jeffrey A Bilmes

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2 papers

Recent·Most cited

Choosing panels of genomics assays using submodular optimization

Kai Wei, Maxwell W Libbrecht, Jeffrey A Bilmes, William Noble

This paper introduces SSA, a method for selecting optimal genomic assays using submodular optimization, and demonstrates its effectiveness on epigenomic data.

bioRxiv · May 27, 2016Bioinformatics

Joint annotation of chromatin state and chromatin conformation reveals relationships among domain types and identifies domains of cell type-specific expression

Maxwell W Libbrecht, Ferhat Ay, Michael M Hoffman, David M Gilbert, Jeffrey A Bilmes, William Stafford Noble

The paper develops a new method to integrate chromatin conformation data with genomic annotations, revealing domain relationships and cell type-specific expression patterns.

Genome Research · Feb 12, 2015Peer-reviewedGenomics