Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yao, Nelson"'
PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores.
Autor:
Chen, Lawrence M.1,2, Yao, Nelson1,2, Garg, Elika1,2, Zhu, Yuecai1,2, Nguyen, Thao T. T.1,2, Pokhvisneva, Irina1,2, Hari Dass, Shantala A.1,2, Unternaehrer, Eva1,2, Gaudreau, Hélène1,2, Silveira, Patricia P.1,2,3,4, O’Donnell, Kieran J.1,2,3,4,5, Meaney, Michael J.1,2,3,4,5, Forest, Marie2,6, Greenwood, Celia M. T.2,6, McEwen, Lisa M.6, MacIsaac, Julia L.6, Kobor, Michael S.6
Publikováno v:
BMC Bioinformatics. 8/8/2018, Vol. 19 Issue 1, p1-9. 9p. 2 Diagrams, 3 Charts, 4 Graphs.
Autor:
Chen, Lawrence, Yao, Nelson, Garg, Elika, Yuecai Zhu, Nguyen, Thao, Pokhvisneva, Irina, Shantala Hari Dass, Unternaehrer, Eva, HĂŠlèNe Gaudreau, Forest, Marie, McEwen, Lisa, MacIsaac, Julia, Kobor, Michael, Greenwood, Celia, Silveira, Patricia, Meaney, Michael, OâDonnell, Kieran
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6d30e81410aeff9ca51185c79e4d89
Autor:
Chen, Lawrence, Yao, Nelson, Garg, Elika, Yuecai Zhu, Nguyen, Thao, Pokhvisneva, Irina, Shantala Hari Dass, Unternaehrer, Eva, Gaudreau, Hélène, Forest, Marie, McEwen, Lisa, MacIsaac, Julia, Kobor, Michael, Greenwood, Celia, Silveira, Patricia, Meaney, Michael, O’Donnell, Kieran
Figure S2. PRSice v1.25, PRSice-2, and PRSoS performance across datasets. Bar plot shows the results of the performance test comparing running PRSice v1.25, PRSice-2, and PRSoS across the datasets. Processing time (y-axis) uses a log base 10 scale. E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d3ab11f03cbf38d47c1137814393f9e
Autor:
Chen, Lawrence, Yao, Nelson, Garg, Elika, Yuecai Zhu, Nguyen, Thao, Pokhvisneva, Irina, Shantala Hari Dass, Unternaehrer, Eva, Gaudreau, Hélène, Forest, Marie, McEwen, Lisa, MacIsaac, Julia, Kobor, Michael, Greenwood, Celia, Silveira, Patricia, Meaney, Michael, O’Donnell, Kieran
Figure S4. Software performance between datasets across number of PRS p-value thresholds to generate in a single run. Imputed HC = imputed posterior probabilities converted to “hard calls”, Array Data = observed genotypes. (PDF 5 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1937751b3e16fa9da39dbcfd09f6f95d
Autor:
Chen, Lawrence, Yao, Nelson, Garg, Elika, Yuecai Zhu, Nguyen, Thao, Pokhvisneva, Irina, Shantala Hari Dass, Unternaehrer, Eva, HĂŠlèNe Gaudreau, Forest, Marie, McEwen, Lisa, MacIsaac, Julia, Kobor, Michael, Greenwood, Celia, Silveira, Patricia, Meaney, Michael, OâDonnell, Kieran
Supplementary Methods and Data Analysis. Additional information on the MAVAN cohort. Genetic data quality control and supplementary data analyses are provided. (Additional file 4: Figure S3, Additional file 5: Figure S4). (PDF 142Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c8964981f06f63c732f08e82aa3fdde
Publikováno v:
2012 IEEE 4th International Conference on Adaptive Science & Technology (ICAST).
In this paper we proposed the design, development and deployment of GPS (Global Positioning System)/GSM (Global System for Mobile Communications) based Vehicle Tracking and Alert System which allows inter-city transport companies to track their vehic