A dimensionality-reduction genomic prediction method without direct inverse of the genomic relationship matrix for large genomic data

Key message A new genomic prediction method (RHPP) was developed via combining randomized Haseman–Elston regression (RHE-reg), PCR based on genomic information of core population, and preconditioned conjugate gradient (PCG) algorithm. Computational efficiency is becoming a hot issue in the practical...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Plant cell reports Ročník 42; číslo 11; s. 1825 - 1832
Hlavní autori:	Liu, Hailan, Yu, Shizhou
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023 Springer Nature B.V
Predmet:	Accuracy Algorithms Biomedical and Life Sciences Biotechnology Cell Biology Computational efficiency Computer applications Computing time Conjugate gradient method data collection Efficiency Genomics Genotyping Life Sciences Machine learning Methods Original Article Pine trees Pinus taeda Plant Biochemistry Plant Sciences prediction Predictions wheat Genomic prediction Principal component regression GBLUP Preconditioned conjugate gradient algorithm Randomized Haseman–Elston regression
ISSN:	0721-7714, 1432-203X, 1432-203X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!