Theme 05 - Human Cell Biology and Pathology
Notice bibliographique
Résumé
AcknowledgementsThe authors thank the patients and their families for participating in and contributing to the research study. Funding for this study was provided by Mayo Clinic Center for Biomedical Discovery.AcknowledgementsI’d like to thank the patients for their contributions to the project and my funders, the MNDA and SITraN, for giving me the ability to continue this work.AcknowledgementsThe study is funded by a postdoctoral grant to TLB from the Western Norway Health Authorities, the patient organization ALS Norge and a Centre of Excellence grant to Neuro-SysMed Centre for Clinical Treatment Research on Neurological diseases. We thank Netherlands Brain Bank and Barcelona Brain Bank for providing ALS tissue to this study.AcknowledgementsYinyan Xu is supported by the CSC and the CAMS Innovation Fund for Medical Science, China (Grant Number: 2018-I2M-2-002).AcknowledgementsThe authors thank the donors and their families and funding from Royal Society Te Apārangi [15-UOA-157, 15-UOA-003].AcknowledgementsThis work was supported by an NSERC Discovery Grant and an ALS Canada Discovery Grant. V.S. was supported by a Canada Graduate Scholarship and an Ontario Graduate Scholarship. M.M. was supported by a Canada Research Chair in Viral Pandemics.AcknowledgementsThis work is dedicated to the patients and families who contribute to our research. KT was funded by an Amelia Pais-Rodriguez and Marcus Gerbich scholarship.AcknowledgementsFunding for this study was provided by the MRC from the grant MR/S006591/1.AcknowledgementsThe authors thank the Structural Biology and Vectorcore facilities at the Crick Institute for their help with protein purification and viral production, respectively.AcknowledgementsThis research was supported with grants to CI (Fondazione di Sardegna 2022-2023 Progetti di ricerca di base dipartimentali; FAR2020) CC (FAR2020). GC (Bando per progetti di ricerca interdisciplinare DM 737/2021 risorse 2021 2022)AcknowledgementsThis project has received funding from the University of Oxford Clarendon Fund, St John’s College Oxford, the Oxford-MRC DTP, the NIHR Oxford BRC, the MND Association, and an MND Association Walker Professorship.AcknowledgementsThis work was supported by an ALS Canada-Brain Canada Discovery grant and by the CQDM-synergiQC program.AcknowledgementsWe would like to thank patients and donors for taking part in the study. Funding for this study was provided by NHMRC (1188169 and 1101085), and MND Research Australia (GIV 1842 and IG 2326).AcknowledgementsFunding was provided by ALS Society of Canada, Canada First Research Excellence Fund, Healthy Brains, Healthy Lives at McGill University, the CQDM FACs program, the Quantum Leaps program, and eNUVIO Inc. through a Mitacs Accelerate.AcknowledgementsWe are grateful to the donors and their families for the generous tissue donations and to the Edinburgh Brain Bank for providing the tissue. ZL is also thankful to the MND Association for supporting this project with a Junior Non-Clinical Fellowship.AcknowledgementsWe would like to thank Neurodegenerative Diseases Biobank, Macquarie University, and Sydney Brain Bank for providing patient samples. Funding for this study was provided by the Dementia Australia Research Foundation 52050 and the MND Research Australia.AcknowledgementsWe thank Answer ALS, NIH, along with the many ALS patients and families who were dedicated to research. We thank Luc Dupuis for providing some expression vectors, input from Andre Hoelz, CalTech, and the entire ANSWER ALS research team for iPS cell lines.AcknowledgementsFunding was supported by the National Health and Medical Research Council, Australia, grant 52581/00, to Atkin J.; and the Nina Buscombe Travel Award, Motor Neurone Disease Victoria, Australia, to Saravanabavan S.AcknowledgementsThis work was supported by grants from HHMI and NIH (R35NS097974).
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».