Additional file 2: of PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores

Autor: Chen, Lawrence, Yao, Nelson, Garg, Elika, Yuecai Zhu, Nguyen, Thao, Pokhvisneva, Irina, Shantala Hari Dass, Unternaehrer, Eva, HélèNe Gaudreau, Forest, Marie, McEwen, Lisa, MacIsaac, Julia, Kobor, Michael, Greenwood, Celia, Silveira, Patricia, Meaney, Michael, O’Donnell, Kieran
Rok vydání: 2018
DOI: 10.6084/m9.figshare.6948710.v1
Popis: Figure S1. PRSice v1.25 and PRSoS performance across the number of cores used to generate PRS and five thresholds using the Imputed Hard Call dataset. PRSice v1.25 could only run on 1 core. PRSoS performance was tested with 1, 4, 12, 20, and 24 cores on a Linux CentOS 7, 24-core Intel Xeon server. Error bars indicate standard deviations. (PDF 4Â kb)
Databáze: OpenAIRE