Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuecai Zhu"'
Autor:
Lawrence M. Chen, Nelson Yao, Elika Garg, Yuecai Zhu, Thao T. T. Nguyen, Irina Pokhvisneva, Shantala A. Hari Dass, Eva Unternaehrer, Hélène Gaudreau, Marie Forest, Lisa M. McEwen, Julia L. MacIsaac, Michael S. Kobor, Celia M. T. Greenwood, Patricia P. Silveira, Michael J. Meaney, Kieran J. O’Donnell
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-9 (2018)
Abstract Background Polygenic risk scores (PRS) describe the genomic contribution to complex phenotypes and consistently account for a larger proportion of variance in outcome than single nucleotide polymorphisms (SNPs) alone. However, there is littl
Externí odkaz:
https://doaj.org/article/d52bb4756a324b0787c6192331339009
Publikováno v:
ICSME
New changes are constantly and concurrently being made to large software systems. In modern continuous integration and deployment environments, each change requires a set of tests to be run. This volume of tests leads to multiple test requests being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03aa383358065705176cc73fce566499
https://doi.org/10.1109/icsme.2018.00016
https://doi.org/10.1109/icsme.2018.00016
Autor:
Michael J. Meaney, Marie Forest, Elika Garg, Irina Pokhvisneva, Eva Unternaehrer, Lisa M. McEwen, Hélène Gaudreau, Yuecai Zhu, Julia L. MacIsaac, Nelson Yao, Michael S. Kobor, Celia M. T. Greenwood, Thao T. T. Nguyen, Kieran J. O’Donnell, Shantala A. Hari Dass, Patrícia Pelufo Silveira, Lawrence M. Chen
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-9 (2018)
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-9 (2018)
Background Polygenic risk scores (PRS) describe the genomic contribution to complex phenotypes and consistently account for a larger proportion of variance in outcome than single nucleotide polymorphisms (SNPs) alone. However, there is little consens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5680e3b8aca48278da14b61f9517fbf9
http://europepmc.org/articles/PMC6083617
http://europepmc.org/articles/PMC6083617
Autor:
Joanna D. Holbrook, Jeanne Brooks-Gunn, James F. Leckman, David L. Olds, Lawrence M. Chen, Neerja Karnani, Michael S. Kobor, Yuecai Zhu, Kieran J. O’Donnell, David Goldman, Elena L. Grigorenko, Josie Diorio, Li Chen, Michael J. Meaney, Thao T. T. Nguyen, Julia L. MacIsaac, Lisa M. McEwen, Katherine Beckmann
Publikováno v:
Translational Psychiatry
Translational Psychiatry, Vol 8, Iss 1, Pp 1-9 (2018)
Translational Psychiatry, Vol 8, Iss 1, Pp 1-9 (2018)
This study reveals the influence of child maltreatment on DNA methylation across the genome and provides the first evidence that a psychosocial intervention program, the Nurse Family Partnership (NFP), which targets mothers at risk for abusive parent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e91b2318d54594a3db4c689ea561bf4
https://doi.org/10.1038/s41398-017-0063-9
https://doi.org/10.1038/s41398-017-0063-9
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
Autor:
Lawrence M. Chen, Michael S. Kobor, Kieran J. O’Donnell, Michael J. Meaney, Irina Pokhvisneva, Patrícia Pelufo Silveira, Elika Garg, Thao T. T. Nguyen, Celia M. T. Greenwood, Yuecai Zhu, Shantala A. Hari Dass, Marie Forest, Lisa M. McEwen, Julia L. MacIsaac, Nelson Yao
MotivationPolygenic risk scores describe the genomic contribution to complex phenotypes and consistently account for a larger proportion of the variance than single nucleotide polymorphisms alone. However, there is little consensus on the optimal dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30bfa1883dfb63ff9fb627b7960b12a