Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Daria Pinakhina"'
Publikováno v:
HGG Advances, Vol 4, Iss 3, Pp 100203- (2023)
Summary: We introduce a user-friendly tool for risk gene, cell type, and drug prioritization for complex traits: GCDPipe. It uses gene-level GWAS-derived data and gene expression data to train a model for the identification of disease risk genes and
Externí odkaz:
https://doaj.org/article/2d27baf2df134ffda1ff0cffa044e3eb
Autor:
Daria Pinakhina, Danat Yermakovich, Ekaterina Vergasova, Evgeny Kasyanov, Grigory Rukavishnikov, Valeriia Rezapova, Nikita Kolosov, Alexey Sergushichev, Iaroslav Popov, Elena Kovalenko, Anna Ilinskaya, Anna Kim, Nikolay Plotnikov, Valery Ilinsky, Nikholay Neznanov, Galina Mazo, Alexander Kibitov, Alexander Rakitko, Mykyta Artomov
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
We present the results of the depression Genome-wide association studies study performed on a cohort of Russian-descent individuals, which identified a novel association at chromosome 7q21 locus. Gene prioritization analysis based on already known de
Externí odkaz:
https://doaj.org/article/627b4eafd9764b6ab824e408d54d14b9
We introduce a user-friendly machine learning tool for risk gene, cell type, and drug ranking for complex traits - GCDPipe. It uses gene-level GWAS-derived data and publicly available expression data to train a model for prediction of disease risk ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbdbea9a1235325c946e0d82d5021a72
https://doi.org/10.1101/2022.07.27.501775
https://doi.org/10.1101/2022.07.27.501775