Author

Scott M. Lundberg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Genomics· 1

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Assay:ChIP-seq· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Brian Raught· 1 shared Linda Z. Penn· 1 shared Michael M. Hoffman· 1 shared Su-In Lee· 1 shared William B. Tu· 1 shared

Activity by Year

2016-2016 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperGenomics

Brian Raught

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1 paper

Recent·Most cited

Learning the human chromatin network from all ENCODE ChIP-seq data

Scott M. Lundberg, William B. Tu, Brian Raught, Linda Z. Penn, Michael M. Hoffman, Su-In Lee

The paper introduces ChromNet, a method to infer chromatin networks from ChIP-seq data, and applies it to ENCODE data to identify known and novel regulatory interactions.

bioRxiv · Jan 18, 2016Genomics