Author

David K. Gifford

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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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:ChIP-seq· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Haoyang ZengiD· 2 shared Yuchun GuoiD· 2 shared Daniel D. Kang· 1 shared Matthew D. Edwards· 1 shared Tatsunori Hashimoto· 1 shared

Activity by Year

2016-2017 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersGenomics

Haoyang ZengORCID

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3 papers

Recent·Most cited

Modular Combinatorial Binding among Human Trans-acting Factors Reveals Direct and Indirect Factor Binding

Yuchun Guo, David K. Gifford

The paper introduces a computational method to identify modular regulatory programs from TF binding data, revealing combinatorial binding patterns and their cell-type-specific variations.

BMC Genomics · Jan 6, 2017Peer-reviewedGenomics

Accurate eQTL prioritization with an ensemble-based framework

Haoyang Zeng, Matthew D. Edwards, Yuchun Guo, David K. Gifford

EnsembleExpr is an ensemble-based framework that accurately predicts eQTLs using MPRA data and outperforms existing methods in a CAGI challenge.

bioRxiv · Aug 16, 2016Genomics

GERV: A Statistical Method for Generative Evaluation of Regulatory Variants for Transcription Factor Binding

Haoyang Zeng, Tatsunori Hashimoto, Daniel D. Kang, David K. Gifford

GERV predicts regulatory variants affecting transcription factor binding by learning a k-mer based generative model from ChIP-seq and DNase-seq data, outperforming existing methods in SNP prediction.

Bioinformatics · Feb 15, 2016Peer-reviewedBioinformatics