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Machine learning prediction and tau-based screening identifies potential Alzheimer’s disease genes relevant to immunity
- Source :
- Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Jessica Binder et al. developed a machine learning model to discover potential drug targets for Alzheimer’s disease. They validated their 20 top candidates in several in vitro models, and highlight FRRS1, CTRAM, SCGB3A1, FAM92B/CIBAR2, and TMEFF2 as potential AD risk genes.
- Subjects :
- Biology (General)
QH301-705.5
Subjects
Details
- Language :
- English
- ISSN :
- 23993642
- Volume :
- 5
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Communications Biology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fe528a0fb444148715ee8fe57ec23e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s42003-022-03068-7