Author

Landon Long Chan

Chinese University of Hong KongORCID 0000-0002-1306-5896Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Anne N. HarringtoniD· 1 shared Anurag SethiiD· 1 shared Axel ViseliD· 1 shared Brandon J. MannioniD· 1 shared Catherine S. Novak· 1 shared Chengfei YaniD· 1 shared Diane E. DickeliD· 1 shared Elizabeth A. LeeiD· 1 shared

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2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anne N. HarringtonORCID

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1 paper

Recent·Most cited

A cross-organism framework for supervised enhancer prediction with epigenetic pattern recognition and targeted validation

Anurag Sethi, Mengting Gu, Emrah Gumusgoz, Landon Long Chan, Koon‐Kiu Yan, Joel S. Rozowsky, Iros Barozzi, Veena Afzal, Jennifer A. Akiyama, Ingrid Plajzer-Frick, Chengfei Yan, Catherine S. Novak, Momoe Kato, Tyler H. Garvin, Quan T. Pham, , Mark Gerstein

This paper develops a cross-organism framework for enhancer prediction using Drosophila STARR-seq data and supervised machine learning, validated in mouse and human with 153 enhancers.

Nature Methods · Jul 29, 2020Peer-reviewedBioinformatics