دورية أكاديمية
Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
| العنوان: | Machine learning identifies candidates for drug repurposing in Alzheimer’s disease |
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| المؤلفون: | Steve Rodriguez, Clemens Hug, Petar Todorov, Nienke Moret, Sarah A. Boswell, Kyle Evans, George Zhou, Nathan T. Johnson, Bradley T. Hyman, Peter K. Sorger, Mark W. Albers, Artem Sokolov |
| المصدر: | Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021) |
| بيانات النشر: | Nature Portfolio |
| سنة النشر: | 2021 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Science |
| الوصف: | Clinical trials of novel therapeutics for Alzheimer’s Disease (AD) have provided largely negative results, so far. Here, the authors present a machine learning framework that quantifies potential associations between the pathology of AD severity and gene-based molecular mechanisms to enable drug repurposing. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2041-1723 |
| العلاقة: | https://doi.org/10.1038/s41467-021-21330-0Test; https://doaj.org/toc/2041-1723Test; https://doaj.org/article/93e763bd3055417ea9c559a7b6fa24d5Test |
| DOI: | 10.1038/s41467-021-21330-0 |
| الإتاحة: | https://doi.org/10.1038/s41467-021-21330-0Test https://doaj.org/article/93e763bd3055417ea9c559a7b6fa24d5Test |
| رقم الانضمام: | edsbas.D2AB0628 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20411723 |
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| DOI: | 10.1038/s41467-021-21330-0 |