Author

Huipeng Li

Genome Institute of SingaporePrimary ORCID profile (0000-0002-7830-849X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Huipeng LiiD1 paper · Harvard University

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Debarka SenguptaiD· 1 shared JayadevaiD· 1 shared Mayank SharmaiD· 1 shared Shyam PrabhakariD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Debarka SenguptaORCID

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1 paper

Recent·Most cited

FORKS: Finding Orderings Robustly using K-means and Steiner trees

Mayank Sharma, Huipeng Li, Debarka Sengupta, Shyam Prabhakar, Jayadeva

FORKS improves pseudo-temporal ordering of single-cell and bulk data by combining k-means and Steiner trees, showing higher accuracy and robustness than existing methods.

bioRxiv · Jun 20, 2017 · PreprintBioinformatics