دورية أكاديمية
DANCE: a deep learning library and benchmark platform for single-cell analysis
| العنوان: | DANCE: a deep learning library and benchmark platform for single-cell analysis |
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| المؤلفون: | Jiayuan Ding, Renming Liu, Hongzhi Wen, Wenzhuo Tang, Zhaoheng Li, Julian Venegas, Runze Su, Dylan Molho, Wei Jin, Yixin Wang, Qiaolin Lu, Lingxiao Li, Wangyang Zuo, Yi Chang, Yuying Xie, Jiliang Tang |
| المصدر: | Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024) |
| بيانات النشر: | BMC, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Biology (General) LCC:Genetics |
| مصطلحات موضوعية: | Deep learning, Benchmarking, Single-cell multimodal analysis, Single-cell spatial analysis, Gene imputation, Cell type annotation, Biology (General), QH301-705.5, Genetics, QH426-470 |
| الوصف: | Abstract DANCE is the first standard, generic, and extensible benchmark platform for accessing and evaluating computational methods across the spectrum of benchmark datasets for numerous single-cell analysis tasks. Currently, DANCE supports 3 modules and 8 popular tasks with 32 state-of-art methods on 21 benchmark datasets. People can easily reproduce the results of supported algorithms across major benchmark datasets via minimal efforts, such as using only one command line. In addition, DANCE provides an ecosystem of deep learning architectures and tools for researchers to facilitate their own model development. DANCE is an open-source Python package that welcomes all kinds of contributions. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1474-760X |
| Relation: | https://doaj.org/toc/1474-760X |
| DOI: | 10.1186/s13059-024-03211-z |
| URL الوصول: | https://doaj.org/article/82df36dc168a46dcab46d25ab356cce5 |
| رقم الأكسشن: | edsdoj.82df36dc168a46dcab46d25ab356cce5 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1474760X |
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| DOI: | 10.1186/s13059-024-03211-z |