Machine Learning Methods for the Analysis of the Patch-Clamp Signals

Monika Richter-Laskowska, Agata Wawrzkiewicz-Jalowiecka, Aleksander Bies, Paulina Trybek

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DOI: 10.1007/978-1-0716-3818-7_15
Published: 2024
Container: Methods in Molecular Biology
Publisher: Springer US
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-1-0716-3818-7_15,
  title = {Machine Learning Methods for the Analysis of the Patch-Clamp Signals},
  author = {Monika Richter-Laskowska and Agata Wawrzkiewicz-Jalowiecka and Aleksander Bies and Paulina Trybek},
  year = {2024},
  journal = {Methods in Molecular Biology},
  doi = {10.1007/978-1-0716-3818-7_15},
  url = {https://doi.org/10.1007/978-1-0716-3818-7_15}
}

RIS

TY  - JOUR
TI  - Machine Learning Methods for the Analysis of the Patch-Clamp Signals
AU  - Monika Richter-Laskowska
AU  - Agata Wawrzkiewicz-Jalowiecka
AU  - Aleksander Bies
AU  - Paulina Trybek
PY  - 2024
JO  - Methods in Molecular Biology
DO  - 10.1007/978-1-0716-3818-7_15
UR  - https://doi.org/10.1007/978-1-0716-3818-7_15
ER  -

APA

Richter-Laskowska, M., Wawrzkiewicz-Jalowiecka, A., Bies, A., & Trybek, P. (2024). Machine Learning Methods for the Analysis of the Patch-Clamp Signals. Methods in Molecular Biology. https://doi.org/10.1007/978-1-0716-3818-7_15

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crossref · retrieved 2026-09-27T10:46:56.533Z