Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Matthias, Reumann"'
Autor:
Graham G. Giles, John L. Hopper, Rosalind A. Eeles, Zsofia Kote-Jarai, Ali Amin Al Olama, Melissa C. Southey, Adam Freeman, Daniel J. Park, Quang M. Bui, Guoqi Qian, Benjamin Goudey, Zeyu Zhou, Adam Kowalczyk, Miroslaw K. Kapuscinski, Matthias Reumann, Liesel M. FitzGerald, Gianluca Severi, Enes Makalic, Daniel F. Schmidt, Robert J. MacInnis
List of the previously identified 100 independent prostate cancer susceptibility SNPs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aca3af90d8bb26cac7c6dcae7674a51a
https://doi.org/10.1158/1055-9965.22437927.v1
https://doi.org/10.1158/1055-9965.22437927.v1
Autor:
Graham G. Giles, John L. Hopper, Rosalind A. Eeles, Zsofia Kote-Jarai, Ali Amin Al Olama, Melissa C. Southey, Adam Freeman, Daniel J. Park, Quang M. Bui, Guoqi Qian, Benjamin Goudey, Zeyu Zhou, Adam Kowalczyk, Miroslaw K. Kapuscinski, Matthias Reumann, Liesel M. FitzGerald, Gianluca Severi, Enes Makalic, Daniel F. Schmidt, Robert J. MacInnis
Plot of the first two principal components for the 7,920 participants in the iCOGS dataset.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1895bf69b1bf49ba58b518d95f902017
https://doi.org/10.1158/1055-9965.22437930.v1
https://doi.org/10.1158/1055-9965.22437930.v1
Autor:
Graham G. Giles, John L. Hopper, Rosalind A. Eeles, Zsofia Kote-Jarai, Ali Amin Al Olama, Melissa C. Southey, Adam Freeman, Daniel J. Park, Quang M. Bui, Guoqi Qian, Benjamin Goudey, Zeyu Zhou, Adam Kowalczyk, Miroslaw K. Kapuscinski, Matthias Reumann, Liesel M. FitzGerald, Gianluca Severi, Enes Makalic, Daniel F. Schmidt, Robert J. MacInnis
Background: We have developed a genome-wide association study analysis method called DEPTH (DEPendency of association on the number of Top Hits) to identify genomic regions potentially associated with disease by considering overlapping groups of cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e337c1121a7b49c6dee84a6edff8b75
https://doi.org/10.1158/1055-9965.c.6516126
https://doi.org/10.1158/1055-9965.c.6516126
Autor:
Graham G. Giles, John L. Hopper, Rosalind A. Eeles, Zsofia Kote-Jarai, Ali Amin Al Olama, Melissa C. Southey, Adam Freeman, Daniel J. Park, Quang M. Bui, Guoqi Qian, Benjamin Goudey, Zeyu Zhou, Adam Kowalczyk, Miroslaw K. Kapuscinski, Matthias Reumann, Liesel M. FitzGerald, Gianluca Severi, Enes Makalic, Daniel F. Schmidt, Robert J. MacInnis
Technical details of the DEPTH procedure.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4af6450b730d26d183700baa5fb7e31
https://doi.org/10.1158/1055-9965.22437936.v1
https://doi.org/10.1158/1055-9965.22437936.v1
Autor:
Kelly L. Wyres, Thomas C. Conway, Saurabh Garg, Carlos Queiroz, Matthias Reumann, Kathryn Holt, Laura I. Rusu
Publikováno v:
Pathogens, Vol 3, Iss 2, Pp 437-458 (2014)
Recent advances in DNA sequencing technologies have the potential to transform the field of clinical and public health microbiology, and in the last few years numerous case studies have demonstrated successful applications in this context. Among othe
Externí odkaz:
https://doaj.org/article/fbe9596f358e4b648c1a1da1f1a2f914
Publikováno v:
Public Health Genomics, 20(6), 321-331. Karger
Introduction: Currently, abundances of highly relevant health data are locked up in data silos due to decentralized storage and data protection laws. The health data cooperative (HDC) model is established to make this valuable data available for soci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c806d7ca359121cb785c0de9c09839bc
https://doi.org/10.1159/000489994
https://doi.org/10.1159/000489994
Publikováno v:
Public Health Genomics, 20(6), 312-320. Karger
Digitization is considered to radically transform healthcare. As such, with seemingly unlimited opportunities to collect data, it will play an important role in the public health policymaking process. In this context, health data cooperatives (HDC) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24b9d658578155ac9ed9914cd1941296
https://doi.org/10.1159/000486587
https://doi.org/10.1159/000486587
Publikováno v:
Genetic Epidemiology. 41:51-60
The use of data analytics across the entire healthcare value chain, from drug discovery and development through epidemiology to informed clinical decision for patients or policy making for public health, has seen an explosion in the recent years. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac08ac42b2e79ef84cf3a6de3380243
https://doi.org/10.1002/gepi.22012
https://doi.org/10.1002/gepi.22012
Autor:
Matthias Reumann, Barbara Böttcher
Publikováno v:
TumorDiagnostik & Therapie. 37:322-326
Der perfekte Sturm der zur Diagnose und Therapie verfugbaren Daten (auch als „Big Data“ bezeichnet) kann im regularen klinischen Alltag nur durch kognitive Assistenzsysteme gemeistert werden. Intelligente Algorithmen werden eingesetzt, um dem Arz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15c8fbfa1ba3f15537f2a3fc4123563b
https://doi.org/10.1055/s-0042-111303
https://doi.org/10.1055/s-0042-111303
Publikováno v:
Gesundheit digital ISBN: 9783662576106
Es ist offensichtlich, dass kunstliche Intelligenz einen positiven Einfluss auf die Gesundheitsversorgung der Patienten und Burger haben wird. Jedoch stellt sie auch grose Herausforderungen dar: Der Gesundheitssektor wie auch die Gesellschaft hinken
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a7403d008259590229681a87967a5e
https://doi.org/10.1007/978-3-662-57611-3_3
https://doi.org/10.1007/978-3-662-57611-3_3