School of Medicine & Health Sciences to host fifth annual Epigenetics & Epigenomics Symposium
Notice bibliographique
Résumé
GRAND FORKS, N.D.—The Fifth Annual Epigenetics & Epigenomics Symposium will be held at the School of Medicine and Health Sciences (SMHS) on the campus of the University of North Dakota May 7-8, 2018.\nResearchers studying epigenetics explore the mechanisms that regulate gene expression and the activation and deactivation of specific genes. Improved understanding of how the human body can turn genes on and off during growth, aging, and in response to the environment has important implications for the diagnosis and treatment of many diseases, including cancer, diabetes, and neurodegenerative disorders such as Alzheimer’s Disease and Parkinson’s Disease.\nAcademic participants from around the region—including researchers from North Dakota, South Dakota, Montana, Indiana, Arkansas, and Manitoba—will be in Grand Forks to share their research on epigenetic mechanisms in health and disease.\nThe symposium is sponsored by the Centers for Biomedical Research Excellence (CoBRE) program, which was established by the National Institutes of Health to promote collaboration among researchers and strengthen research infrastructure at biomedical research institutions. The purpose of the symposium is to bring nationally recognized experts in the biomedical sciences to share their work as well as to highlight the research being accomplished at the University of North Dakota.\n“The field of epigenetics is growing at a fast pace, and researchers in many fields are actively uncovering the role of epigenetics in a variety of human disorders and diseases,” noted Roxanne Vaughan, PhD, professor in the Department of Biomedical Sciences at the SMHS and principal investigator of the CoBRE grant (right). “The understanding that environment and lifestyle can impact the genome to influence how genes are expressed has driven a number of discoveries, including many obtained here at UND. This symposium is an exciting opportunity for our researchers to learn about cutting edge epigenetics research from leaders in the field and showcase their own research and form productive collaborations.”\nThis free symposium will be held from\n1 p.m. to 6:30 p.m. on May 7, and 8 a.m. to 4 p.m. on May 8 in the SMHS, it\ni ncludes a poster session and the following keynote speakers\nJim Davie, PhD, professor, Department of Biochemistry and Medical Genetics, scientist, Children’s Hospital Research Institute of Manitoba, senior scientist, Research Institute in Oncology and Hematology, and director of the Manitoba Epigenetic Network\nMike Levine, PhD, professor of Molecular Biology and Director of the Lewis-Sigler Institute for Integrative Genomics, Princeton University\nAmber Mosley, PhD, associate professor of Biochemistry and Molecular Biology at the University of Indiana\n# # #\nBrian James Schill\nAssistant Director, Office of Alumni & Community Relations\nUniversity of North Dakota School of Medicine and Health Sciences\n701.777.2733 direct | 701.777.4305 office\nbrian.schill@med.und.edu | www.med.und.edu
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».