An approachable, flexible and practical machine learning workshop for biologists

Chris S Magnano, Fangzhou Mu, Rosemary S Russ, Milica Cvetkovic, Debora Treu, Anthony Gitter

Open source

DOI: 10.1093/bioinformatics/btac233
Published: 2022-06-24
Container: Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btac233,
  title = {An approachable, flexible and practical machine learning workshop for biologists},
  author = {Chris S Magnano and Fangzhou Mu and Rosemary S Russ and Milica Cvetkovic and Debora Treu and Anthony Gitter},
  year = {2022},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btac233},
  url = {https://doi.org/10.1093/bioinformatics/btac233}
}

RIS

TY  - JOUR
TI  - An approachable, flexible and practical machine learning workshop for biologists
AU  - Chris S Magnano
AU  - Fangzhou Mu
AU  - Rosemary S Russ
AU  - Milica Cvetkovic
AU  - Debora Treu
AU  - Anthony Gitter
PY  - 2022
JO  - Bioinformatics
DO  - 10.1093/bioinformatics/btac233
UR  - https://doi.org/10.1093/bioinformatics/btac233
ER  -

APA

Magnano, C. S., Mu, F., Russ, R. S., Cvetkovic, M., Treu, D., & Gitter, A. (2022). An approachable, flexible and practical machine learning workshop for biologists. Bioinformatics. https://doi.org/10.1093/bioinformatics/btac233

Source records

crossref · retrieved 2026-09-25T20:37:21.235Z