Author

Lucian Li

Baylor College of MedicineORCID 0000-0002-9462-6527Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:mouse· 1

Frequent Co-Authors

Zhandong LiuiD· 3 shared Alexander J. TrostleiD· 2 shared Seon‐Young KimiD· 2 shared Ying‐Wooi WaniD· 2 shared Guillaume Poirier‐MorencyiD· 1 shared Hari Krishna YalamanchiliiD· 1 shared Hugo Jozef BelleniD· 1 shared J. Michael HarnishiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Zhandong LiuORCID

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3 papers

Recent·Most cited

Most High Throughput Expression Data Sets are Underpowered

Alexander J. Trostle, Jiasheng Wang, Lucian Li, Ying‐Wooi Wan, Zhandong Liu

The paper argues that high-throughput expression datasets are underpowered due to insufficient biological replicates and recommends at least six per condition to improve reliability.

bioRxiv · Aug 3, 2022 · PreprintBioinformatics

ModelMatcher: A scientist-centric online platform to facilitate collaborations between stakeholders of rare and undiagnosed disease research

J. Michael Harnish, Lucian Li, Sanja Rogić, Guillaume Poirier‐Morency, Seon‐Young Kim, Undiagnosed Diseases Network, Kym M. Boycott, Michael F. Wangler, Hugo Jozef Bellen, Philip Hieter, Paul Pavlidis, Zhandong Liu, Shinya Yamamoto

ModelMatcher connects researchers, clinicians, and stakeholders in rare disease research to accelerate translational studies and collaborations.

Human Mutation · Feb 28, 2022Peer-reviewedGenetics

MECP2pedia: A Comprehensive Transcriptome Portal for MECP2 Disease Research

Alexander J. Trostle, Lucian Li, Seon‐Young Kim, Jiasheng Wang, Rami Al‐Ouran, Hari Krishna Yalamanchili, Zhandong Liu, Ying‐Wooi Wan

The paper aggregates and analyzes MeCP2 transcriptome data to identify a core set of perturbed genes and provides insights into MeCP2 function through a web portal.

bioRxiv · Nov 27, 2021 · PreprintBioinformatics