Author

Yulu Liu

Chinese Academy of SciencesORCID 0000-0002-9763-3976Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:multiple species· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Shuai Cheng LiiD· 2 shared Xingxin PaniD· 2 shared Biao LiuiD· 1 shared Biao LiuiD· 1 shared Qiong ShiiD· 1 shared Shengbin LiiD· 1 shared Shengbin LiiD· 1 shared Xingzhao WeniD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Shuai Cheng LiORCID

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2 papers

Recent·Most cited

D-GPM: a deep learning method for gene promoter methylation inference

Xingxin Pan, Biao Liu, Xingzhao Wen, Yulu Liu, Xiuqing Zhang, Shengbin Li, Shuai Cheng Li

D-GPM uses deep learning to predict promoter methylation levels from landmark gene methylation data, outperforming traditional methods in accuracy and correlation.

Genes · Oct 14, 2019Peer-reviewedBioinformatics

Pleistocene Mammal Population Fluctuation Patterns Inferred by Their Genomes

Yulu Liu, Biao Liu, Xingxin Pan, Qiong Shi, Zhoujian Xiao, Shengbin Li, Shuai Cheng Li

The paper analyzes genome sequencing data from 60 mammals to infer historical effective population sizes during the Pleistocene, showing how paleoclimate events influenced population fluctuations.

bioRxiv · Dec 23, 2018 · PreprintBioinformatics