PCRedux: A Quantitative PCR Machine Learning Toolkit

R JavaScript Submitted 11 May 2022Published 21 August 2022
Review

Editor: @csoneson (all papers)
Reviewers: @jaybee84 (all reviews), @markziemann (all reviews)

Authors

Michał Burdukiewicz (0000-0001-8926-582X), Andrej-Nikolai Spiess (0000-0002-9630-4724), Dominik Rafacz (0000-0003-0925-1909), Konstantin Blagodatskikh (0000-0002-8732-0300), Stefan Rödiger (0000-0002-1441-6512)

Citation

Burdukiewicz et al., (2022). PCRedux: A Quantitative PCR Machine Learning Toolkit. Journal of Open Source Software, 7(76), 4407, https://doi.org/10.21105/joss.04407

@article{Burdukiewicz2022, doi = {10.21105/joss.04407}, url = {https://doi.org/10.21105/joss.04407}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {76}, pages = {4407}, author = {Michał Burdukiewicz and Andrej-Nikolai Spiess and Dominik Rafacz and Konstantin Blagodatskikh and Stefan Rödiger}, title = {PCRedux: A Quantitative PCR Machine Learning Toolkit}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

qPCR bioinformatics machine learning reproducible research

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066