Author

Ruimei Liu

Fudan University

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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Genetics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Andreas SchereriD· 2 shared Bao Fu DingiD· 2 shared Bin LiiD· 2 shared Bingying LiiD· 2 shared Fangping Dai· 2 shared He JiangiD· 2 shared Hui JiangiD· 2 shared Huixiao HongiD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

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2 papers

Recent·Most cited

Ratio-based quantitative multiomics profiling using universal reference materials empowers data integration

Yuanting Zheng, Yaqing Liu, Jingcheng Yang, Lianhua Dong, Rui Zhang, Sha Tian, Ying Yu, Luyao Ren, Wanwan Hou, Feng Zhu, Yuanbang Mai, Jinxiong Han, Lijun Zhang, Hui Jiang, Ling Lin, , Leming M. Shi

This paper introduces ratio-based multiomics profiling using universal reference materials to improve data integration across omics types and batches.

bioRxiv · Oct 24, 2022 · PreprintSystems Biology

Quartet RNA reference materials and ratio-based reference datasets for reliable transcriptomic profiling

Ying Yu, Wanwan Hou, Haiyan Wang, Lianhua Dong, Yaqing Liu, Shanyue Sun, Jingcheng Yang, Zehui Cao, Peipei Zhang, Yi Zi, Zhihui Li, Ruimei Liu, Jian Gao, Qingwang Chen, Naixin Zhang, , Yuanting Zheng

The paper introduces RNA reference materials and ratio-based datasets to improve the reliability and benchmarking of transcriptomic profiling.

bioRxiv · Sep 26, 2022 · PreprintGenetics