Author

Wyeth W Wasserman

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

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Wenqiang Shi· 1 shared Yifeng Li· 1 shared

Activity by Year

2016-2016 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Wenqiang Shi

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1 paper

Recent·Most cited

Genome-Wide Prediction of cis-Regulatory Regions Using Supervised Deep Learning Methods

Yifeng Li, Wenqiang Shi, Wyeth W Wasserman

The paper introduces DECRES, a deep learning model to identify enhancer and promoter regions in the human genome, predicting 300,000 candidate enhancers and 26,000 candidate promoters.

bioRxiv · Feb 28, 2016Bioinformatics