Author

Hugo Schmutz

Harvard University

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

Signature Assays, Organisms & Methods

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Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandra Maslova· 1 shared Bernard NgiD· 1 shared Chendi WangiD· 1 shared Christophe O. BenoistiD· 1 shared Curtis FoxiD· 1 shared Ke MaiD· 1 shared Ricardo N. RamíreziD· 1 shared Sara MostafaviiD· 1 shared

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2019-2019 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Alexandra Maslova

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1 paper

Recent·Most cited

Learning immune cell differentiation

Alexandra Maslova, Ricardo N. Ramírez, Ke Ma, Hugo Schmutz, Chendi Wang, Curtis Fox, Bernard Ng, Christophe O. Benoist, Sara Mostafavi, the Immunological Genome Project

This paper introduces AI-TAC, a convolutional neural network that infers cell-type-specific chromatin activity from DNA sequences using an ATAC-seq atlas of immune cells.

bioRxiv · Dec 21, 2019 · PreprintGenomics