DANCE: a deep learning library and benchmark platform for single-cell analysis

DANCE: a deep learning library and benchmark platform for single-cell analysis

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...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Genome Biology
Subjects:
Deep learning
Benchmarking
Single-cell multimodal analysis
Single-cell spatial analysis
Gene imputation
Cell type annotation
Online Access:https://doi.org/10.1186/s13059-024-03211-z

Internet

https://doi.org/10.1186/s13059-024-03211-z

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