Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Xiaojin Chu"'
Autor:
Raúl Aguirre-Gamboa, Niek de Klein, Jennifer di Tommaso, Annique Claringbould, Monique GP van der Wijst, Dylan de Vries, Harm Brugge, Roy Oelen, Urmo Võsa, Maria M. Zorro, Xiaojin Chu, Olivier B. Bakker, Zuzanna Borek, Isis Ricaño-Ponce, Patrick Deelen, Cheng-Jiang Xu, Morris Swertz, Iris Jonkers, Sebo Withoff, Irma Joosten, Serena Sanna, Vinod Kumar, Hans J. P. M. Koenen, Leo A. B. Joosten, Mihai G. Netea, Cisca Wijmenga, BIOS Consortium, Lude Franke, Yang Li
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-23 (2020)
Abstract Background Expression quantitative trait loci (eQTL) studies are used to interpret the function of disease-associated genetic risk factors. To date, most eQTL analyses have been conducted in bulk tissues, such as whole blood and tissue biops
Externí odkaz:
https://doaj.org/article/d968288a4faf422088c9b27830e918ca
Autor:
Sebo Withoff, Cisca Wijmenga, Xiaojin Chu, Patrick Deelen, Roy Oelen, Irma Joosten, Olivier B. Bakker, Annique Claringbould, Yang Li, Mihai G. Netea, Jennifer di Tommaso, Iris Jonkers, Vinod Kumar, Morris A. Swertz, Monique G. P. van der Wijst, Maria M. Zorro, Zuzanna Borek, Serena Sanna, Isis Ricaño-Ponce, Dylan H. de Vries, Lude Franke, Hans J. P. M. Koenen, Harm Brugge, Cheng-Jian Xu, Raul Aguirre-Gamboa, Niek de Klein, Urmo Võsa, Leo A. B. Joosten
Publikováno v:
BMC bioinformatics
England
Bmc Bioinformatics, 21(1):243. BioMed Central Ltd.
BMC Bioinformatics
BMC Bioinformatics, 21, 1
BMC Bioinformatics, 21
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-23 (2020)
England
Bmc Bioinformatics, 21(1):243. BioMed Central Ltd.
BMC Bioinformatics
BMC Bioinformatics, 21, 1
BMC Bioinformatics, 21
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-23 (2020)
Background Expression quantitative trait loci (eQTL) studies are used to interpret the function of disease-associated genetic risk factors. To date, most eQTL analyses have been conducted in bulk tissues, such as whole blood and tissue biopsies, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a28c682c53dee8c14d4e424a1a4efe58
https://doi.org/10.1101/548669
https://doi.org/10.1101/548669
Autor:
Aguirre-Gamboa, Raúl, Klein, Niek De, Tommaso, Jennifer Di, Claringbould, Annique, Wijst, Monique GP Van Der, Vries, Dylan De, Brugge, Harm, Oelen, Roy, Võsa, Urmo, Zorro, Maria M., Xiaojin Chu, Bakker, Olivier B., Borek, Zuzanna, Ricaño-Ponce, Isis, Deelen, Patrick, Cheng-Jiang Xu, Swertz, Morris, Jonkers, Iris, Sebo Withoff, Joosten, Irma, Sanna, Serena, Kumar, Vinod, Koenen, Hans J. P. M., Joosten, Leo A. B., Netea, Mihai G., Wijmenga, Cisca, Franke, Lude, Li, Yang
Additional file 1 : Supplementary Figure 1: Prediction performance of Decon-cell within 500FG: The Y-axis represents the 73 immune cell types quantified by FACS in the 500FG cohort. The bar plot on the left panel shows the mean Prediction Performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318e3c1224be54a7240261fcbcdd0660
