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Open Access

Peer-reviewed

Research Article

Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expression

Xinxing Wu,

Roles Writing – original draft

Affiliation University of Kentucky, Lexington, Kentucky, United States of America

https://orcid.org/0000-0001-9177-9352

⨯
Chong Peng,

Roles Writing – original draft

Affiliation Qingdao University, Qingdao, Shandong, China

https://orcid.org/0000-0003-0003-5126

⨯
Peter T. Nelson,

Roles Writing – original draft

Affiliation University of Kentucky, Lexington, Kentucky, United States of America
⨯
Qiang Cheng

Roles Writing – original draft

* E-mail: qiang.cheng@uky.edu

Affiliation University of Kentucky, Lexington, Kentucky, United States of America

https://orcid.org/0000-0002-3596-2838

⨯

Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expression

Xinxing Wu,
Chong Peng,
Peter T. Nelson,
Qiang Cheng

x

Published: September 7, 2021
https://doi.org/10.1371/journal.pone.0256648

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