Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Noah Herrick"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Automatic dense 3D surface registration is a powerful technique for comprehensive 3D shape analysis that has found a successful application in human craniofacial morphology research, particularly within the mandibular and cranial vault regio
Externí odkaz:
https://doaj.org/article/973b8a5e1763463ba523425d13f8f72d
Autor:
Noah Herrick, Susan Walsh
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Background Processing raw genomic data for downstream applications such as imputation, association studies, and modeling requires numerous third-party bioinformatics software tools. It is highly time-consuming and resource-intensive with com
Externí odkaz:
https://doaj.org/article/af6a4e1476424a919b01a9d3252f7fc3
Autor:
Seppe Goovaerts, Hanne Hoskens, Ryan J. Eller, Noah Herrick, Anthony M. Musolf, Cristina M. Justice, Meng Yuan, Sahin Naqvi, Myoung Keun Lee, Dirk Vandermeulen, Heather L. Szabo-Rogers, Paul A. Romitti, Simeon A. Boyadjiev, Mary L. Marazita, John R. Shaffer, Mark D. Shriver, Joanna Wysocka, Susan Walsh, Seth M. Weinberg, Peter Claes
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-21 (2023)
Abstract The cranial vault in humans is highly variable, clinically relevant, and heritable, yet its genetic architecture remains poorly understood. Here, we conduct a joint multi-ancestry and admixed multivariate genome-wide association study on 3D
Externí odkaz:
https://doaj.org/article/69a3d3cc3f27415f9870d75eead756a6
Autor:
Franziska Wilke, Noah Herrick, Harold Matthews, Hanne Hoskens, Sylvia Singh, John R. Shaffer, Seth M. Weinberg, Mark D. Shriver, Peter Claes, Susan Walsh
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Facial ancestry can be described as variation that exists in facial features that are shared amongst members of a population due to environmental and genetic effects. Even within Europe, faces vary among subregions and may lead to confoundin
Externí odkaz:
https://doaj.org/article/563b8273693847c8a42465d2fc1667be
Autor:
Meng Yuan, Hanne Hoskens, Seppe Goovaerts, Noah Herrick, Mark D. Shriver, Susan Walsh, Peter Claes
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Analysis of population structure and genomic ancestry remains an important topic in human genetics and bioinformatics. Commonly used methods require high-quality genotype data to ensure accurate inference. However, in practice, laboratory ar
Externí odkaz:
https://doaj.org/article/b9c606ff521942aab5d096ec6cd8f4b5
Autor:
Seppe Goovaerts, Hanne Hoskens, Ryan J Eller, Noah Herrick, Anthony M Musolf, Cristina M Justice, Meng Yuan, Sahin Naqvi, Myoung Keun Lee, Dirk Vandermeulen, Heather L Szabo-Rogers, Paul A Romitti, Simeon A Boyadjiev, Mary L Marazita, John R Shaffer, Mark D Shriver, Joanna Wysocka, Susan Walsh, Seth M Weinberg, Peter Claes
The cranial vault – the portion of the skull surrounding the brain and cerebellum – is highly variable, clinically relevant, and heritable, yet its genetic architecture remains poorly understood. Here, we conducted a joint multi-ancestry and admi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9124a7e45a6950e172d7d1562b29c9e8
https://doi.org/10.1101/2022.12.01.518684
https://doi.org/10.1101/2022.12.01.518684
Autor:
Noah Herrick, Hanne Hoskens, Jiarui Li, Ryan J. Eller, Karlijne Indencleef, Arslan A. Zaidi, Tomás González Zarzar, Susan Walsh, Mark D. Shriver, Peter Claes, Julie D. White, Nele Nauwelaers, Torsten Günther, Mattias Jakobsson, Harry Matthews, Emma Svensson, Kristel Van Steen
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Scientific Reports
Scientific Reports
Estimates of individual-level genomic ancestry are routinely used in human genetics, and related fields. The analysis of population structure and genomic ancestry can yield insights in terms of modern and ancient populations, allowing us to address q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ea636437b398aacc98568d81ecb18d6
https://lirias.kuleuven.be/handle/123456789/657438
https://lirias.kuleuven.be/handle/123456789/657438
Publikováno v:
IEEE BigData
Facial landmark placement is a key step in many biomedical and biometrics applications. This paper presents a computational method that efficiently performs automatic 3D facial landmark placement based on training images containing manually placed an