Author

Qingshan Chen

Northeast Agricultural UniversityORCID 0009-0003-9522-5279Unclaimed ORCID profile · follow to get notified of new preprints

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Qingshan Chen1 paper · Northeast Agricultural University

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1 Organism:multiple species· 1

Frequent Co-Authors

Dawei XiniD· 3 shared Rongsheng ZhuiD· 3 shared Zhanguo ZhangiD· 3 shared Zhenbang HuiD· 2 shared Jinglu LiuiD· 1 shared Yang LiiD· 1 shared Yang Li· 1 shared Yang LiiD· 1 shared

Activity by Year

2019-2019 · peak 3/yr

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8 top collaborators · 22 mutual co-author links

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3 shared papersBioinformatics

Dawei XinORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 16, 2019

Discovery Function Labels Based On Numerical Features Of MicroRNA Found In Plant

Rongsheng Zhu, Jinglu Liu, Dawei Xin…·Qingshan Chen

The paper identifies numerical features of miRNAs that correlate with functional labels of their target genes in plants.

DOI 10.1101/770875

plant (other)bulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 16, 2019

Reconstructing species evolutionary trees using the numerical features of microRNA

Rongsheng Zhu, Dawei Xin, Zhanguo Zhang…·Qingshan Chen

The paper reconstructs species evolutionary trees using microRNA numerical features, showing results consistent with known evolutionary timelines.

DOI 10.1101/770503

plant (other)human

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 12, 2019

Discovering Differences and Similarities among Species Based on Numeric Features of microRNAs

Rongsheng Zhu, Zhanguo Zhang, Dawei Xin…·Qingshan Chen

The paper compares numeric features of microRNAs across 32 species to identify species-specific and shared characteristics using statistical tests and visualization tools.

DOI 10.1101/767046

multiple speciesstatistical model

𝕏 PostBluesky