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Deep learning shapes single-cell data analysis
Nature Reviews Molecular Cell Biology ( IF 112.7 ) Pub Date : 2022-02-23 , DOI: 10.1038/s41580-022-00466-x
Qin Ma 1, 2 , Dong Xu 3
Affiliation  

Deep learning has tremendous potential in single-cell data analyses, but numerous challenges and possible new developments remain to be explored. In this commentary, we consider the progress, limitations, best practices and outlook of adapting deep learning methods for analysing single-cell data. Ma and Xu discuss the status, best practices and future of using deep learning methods to analyse single-cell data.

中文翻译:

深度学习塑造单细胞数据分析

深度学习在单细胞数据分析中具有巨大潜力,但仍有许多挑战和可能的新发展有待探索。在这篇评论中,我们考虑了采用深度学习方法分析单细胞数据的进展、局限性、最佳实践和前景。Ma 和 Xu 讨论了使用深度学习方法分析单细胞数据的现状、最佳实践和未来。
更新日期:2022-02-23
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