📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Polygenic risk and pleiotropy in neurodegenerative diseases. (2020)

First Author: Bellou E

Attributed to: Application of Machine Learning approaches to genetic and gene expression data to predict neurodegeneration-related endophenotypes funded by COVID

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.nbd.2020.104953

PubMed Identifier: 32445791

Publication URI: http://europepmc.org/abstract/MED/32445791

Type: Journal Article/Review

Volume: 142

Parent Publication: Neurobiology of disease

ISSN: 0969-9961