Author

Yang-Yu Liu

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· 3 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Assay:metagenomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Amir Bashan· 2 shared Elizabeth L. Hohmann· 1 shared Feixiong Cheng· 1 shared Hong-Tai Cao· 1 shared Hongfu Liu· 1 shared Hongsheng Fang· 1 shared Marco Tulio Angulo· 1 shared Rui Zhao· 1 shared

Activity by Year

2016-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersEcology

Amir Bashan

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Revealing complex ecological dynamics via symbolic regression

Yize Chen, Marco Tulio Angulo, Yang-Yu Liu

This paper uses symbolic regression to reverse-engineer ecological dynamics from temporal data, showing it can infer models for both small and large ecosystems.

BioEssays · Oct 16, 2019Peer-reviewedBioinformatics

On the Stability Landscape of the Human Gut Microbiome: Implications for Microbiome-based Therapies

Travis E. Gibson, Vincent Carey, Amir Bashan, Elizabeth L. Hohmann, Scott T. Weiss, Yang-Yu Liu

A new method for analyzing the stability landscape of the human gut microbiome and predicting its steady-state composition is developed.

bioRxiv · Aug 17, 2017 · PreprintEcology

Pitfalls in Inferring Human Microbial Dynamics from Temporal Metagenomics Data

Hong-Tai Cao, Travis Gibson, Amir Bashan, Yang-Yu Liu

This paper identifies pitfalls in inferring human gut microbial dynamics from temporal metagenomics data, highlighting issues like uninformative measurements and compositional data challenges.

BioEssays · Dec 21, 2016Peer-reviewedBioinformatics

A Novel Clustering Method for Patient Stratification

Hongfu Liu, Rui Zhao, Hongsheng Fang, Feixiong Cheng, Yun Fu, Yang-Yu Liu

This paper introduces an Entropy-based Consensus Clustering (ECC) method for patient stratification, showing superior performance on cancer gene expression datasets.

bioRxiv · Sep 3, 2016Bioinformatics