scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data.

Fu Z, Chen C, Wang S, Wang J, Chen S.

Open source

DOI: 10.3390/biology14060679
Published: 2025-06-11
Container: Biology (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/biology14060679,
  title = {scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data.},
  author = {Fu Z and  Chen C and  Wang S and  Wang J and  Chen S.},
  year = {2025},
  journal = {Biology (Basel)},
  doi = {10.3390/biology14060679},
  url = {https://doi.org/10.3390/biology14060679}
}

RIS

TY  - JOUR
TI  - scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data.
AU  - Fu Z
AU  -  Chen C
AU  -  Wang S
AU  -  Wang J
AU  -  Chen S.
PY  - 2025
JO  - Biology (Basel)
DO  - 10.3390/biology14060679
UR  - https://doi.org/10.3390/biology14060679
ER  -

APA

Z, F., C, C., S, W., J, W., & S., C. (2025). scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data.. Biology (Basel). https://doi.org/10.3390/biology14060679

Source records

europe-pmc · retrieved 2026-09-26T07:38:20.428Z
doaj · retrieved 2026-09-26T07:38:20.388Z