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Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores.
medRxiv [Preprint]. 2023 Dec 14:2023.12.13.23299909. doi: 10.1101/2023.12.13.23299909.
medRxiv. 2023.
PMID: 38168328
Free PMC article.
Preprint.
A parametric bootstrap approach for computing confidence intervals for genetic correlations with application to genetically-determined protein-protein networks.
Tsai YT, Hrytsenko Y, Elgart M, Tahir U, Chen ZZ, Wilson JG, Gerszten R, Sofer T.
Tsai YT, et al. Among authors: hrytsenko y.
medRxiv [Preprint]. 2023 Oct 25:2023.10.24.23297474. doi: 10.1101/2023.10.24.23297474.
medRxiv. 2023.
PMID: 37961678
Free PMC article.
Updated.
Preprint.
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Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores.
Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, Jaeger BC, Gu CC, Kooperberg C, Levy D, Lloyd-Jones D, Choi E, Brody JA, Smith JA, Rotter JI, Moll M, Fornage M, Simon N, Castaldi P, Casanova R, Chung RH, Kaplan R, Loos RJF, Kardia SLR, Rich SS, Redline S, Kelly T, O'Connor T, Zhao W, Kim W, Guo X, Ida Chen YD; Trans-Omics in Precision Medicine Consortium; Sofer T.
Hrytsenko Y, et al.
Sci Rep. 2024 May 30;14(1):12436. doi: 10.1038/s41598-024-62945-9.
Sci Rep. 2024.
PMID: 38816422
Free PMC article.
Item in Clipboard
A parametric bootstrap approach for computing confidence intervals for genetic correlations with application to genetically determined protein-protein networks.
Tsai YT, Hrytsenko Y, Elgart M, Tahir UA, Chen ZZ, Wilson JG, Gerszten RE, Sofer T.
Tsai YT, et al. Among authors: hrytsenko y.
HGG Adv. 2024 May 8;5(3):100304. doi: 10.1016/j.xhgg.2024.100304. Online ahead of print.
HGG Adv. 2024.
PMID: 38720460
Free PMC article.
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