Author

Xiaoyang Ji

Inner Mongolia Agricultural UniversityORCID 0000-0001-7794-4956Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Research Focus:database / resource· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:software / tool· 2

Frequent Co-Authors

Chunli ZhangiD· 2 shared Chunming ZhangiD· 2 shared Gang Niu· 2 shared Guangming TaniD· 2 shared Renhua NaiD· 2 shared Yubo Zhai· 2 shared Bo DuaniD· 1 shared Gang NiuiD· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Chunli ZhangORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineDrug Development ResearchPeer-reviewedJul 13, 2020

TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection

Xiaoyang Ji, Wenting Tan, Chunming Zhang…·Gang Niu

TWIRLS automatically analyzes literature to suggest ACE2's role in coronavirus-induced host pathology via cytokine imbalance.

11 citations

humanstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 27, 2020

TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection

Xiaoyang Ji, Chunming Zhang, Yubo Zhai…·Gang Niu

TWIRLS automatically analyzes literature to suggest ACE2's role in coronavirus-induced host pathology via cytokine imbalance.

13 citations

humanstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 15, 2019

A literature mining method to judge whether there are uncertaintiesin empirical-dependent antineoplastic drug distribution in specificclinical scenarios.

Xiaoyang Ji, Zhendong Feng, Qiangzu Zhang…·Gang Niu

This paper develops a literature mining method to assess drug-gene associations and evaluate antineoplastic drug efficacy in specific cancer types using regression analysis and the GDSC database.

DOI 10.1101/842401

statistical modelbenchmarking

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