TWIRLS, a knowledge-mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2 (vol 81, pg 1004, 2020)-MedSci.cn

TWIRLS, a knowledge-mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2 (vol 81, pg 1004, 2020)

Niu, G

Niu, G (corresponding author), Joint Turing Darwin Lab Phil Rivers Technol Ltd, Beijing, Peoples R China.; Niu, G (corresponding author), Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China.; Niu, G (corresponding author), Phil Rivers Technol Ltd, Dept Computat Biol, Beijing, Peoples R China.; Niu, G (corresponding author), Chinese Acad Sci, West Inst Comp Technol, Chongqing, Peoples R China.; Niu, G (corresponding author), Shenzhen Univ, Nanophoton Res Ctr, Shenzhen Key Lab Microscale

Abstract

Faced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to the "SARS-CoV-2" shou......

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TWIRLS, a knowledge-mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2 (vol 81, pg 1004, 2020)

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