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Machine Learning of Stem Cell Identities From Single-Cell Expression Data via Regulatory Network Archetypes

  • Published:2019-01-22 Issue: Volume:10 Page:
  • ISSN:1664-8021
  • Container-title:Frontiers in Genetics
  • language:
  • Short-container-title:Front. Genet.

Author:

Stumpf Patrick S.,MacArthur Ben D.

Funder

Biotechnology and Biological Sciences Research Council

Medical Research Council

Publisher

Frontiers Media SA

Subject

Genetics (clinical),Genetics,Molecular Medicine

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Approaches to construct and analyze stem cells regulatory networks;Computational Biology for Stem Cell Research;2024

2. Multiscale computational and machine learning models for designing stem cell-based regenerative medicine therapies;Computational Biology for Stem Cell Research;2024

3. Recent advances in computational modeling;Computational Biology for Stem Cell Research;2024

4. Machine Learning Approaches for Stem Cells;Current Stem Cell Reports;2023-09-22

5. Deep learning models will shape the future of stem cell research;Stem Cell Reports;2023-01
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