Identification of contributing genes of Huntington's disease by machine learning.

Journal: BMC medical genomics

PMID: 33228685

Abstract

BACKGROUND: Huntington's disease (HD) is an inherited disorder caused by the polyglutamine (poly-Q) mutations of the HTT gene results in neurodegeneration characterized by chorea, loss of coordination, cognitive decline. However, HD pathogenesis is still elusive. Despite the availability of a wide range of biological data, a comprehensive understanding of HD's mechanism from machine learning is so far unrealized, majorly due to the lack of needed data density.

Authors

Jack Cheng

Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
Hsin-Ping Liu

Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
Wei-Yong Lin

Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan. linwy@mail.cmu.edu.tw.
Fuu-Jen Tsai

Million-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.

Keywords

Cognition Cytoskeleton Datasets as Topic Decision Trees Gene Expression Profiling Gene Expression Regulation Gene Ontology Humans Huntington Disease Inflammation Linear Models Machine Learning Nerve Tissue Proteins Perception Prefrontal Cortex Sensation

External Resources

View on PubMed Access via DOI PubMed (33228685)

Identification of contributing genes of Huntington's disease by machine learning.

Abstract

Authors

Keywords

External Resources

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