PCRedux

PCRedux: A Quantitative PCR Machine Learning Toolkit - Published in JOSS (2022)

https://github.com/pcruniversum/pcredux

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README and JOSS metadata
  • Academic publication links
  • Committers with academic emails
    1 of 8 committers (12.5%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation

Repository

quantitative PCR machine learning helper tool

Basic Info
  • Host: GitHub
  • Owner: PCRuniversum
  • License: other
  • Language: TeX
  • Default Branch: master
  • Size: 93.4 MB
Statistics
  • Stars: 8
  • Watchers: 4
  • Forks: 9
  • Open Issues: 2
  • Releases: 1
Created over 8 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog Contributing License

README.md

CRAN_Status_Badge Downloads R-CMD-check

PCRedux

PCRedux

Quantitative PCR Machine Learning Toolkit

The software extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al., 2014) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al., 2018) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.

Installation

PCRedux is available on CRAN. However, you can install the latest development version of the code using the following code:

R library("devtools") install_github("PCRuniversum/PCRedux")

Manual

The manual is available online.

Owner

  • Name: PCRuniversum
  • Login: PCRuniversum
  • Kind: organization

JOSS Publication

PCRedux: A Quantitative PCR Machine Learning Toolkit
Published
August 21, 2022
Volume 7, Issue 76, Page 4407
Authors
Michał Burdukiewicz ORCID
Autonomous University of Barcelona, Bellaterra, Spain, Medical University of Białystok, Białystok, Poland
Andrej-Nikolai Spiess ORCID
Soilytix GmbH, Hamburg, Germany
Dominik Rafacz ORCID
Warsaw University of Technology, Warsaw, Poland
Konstantin Blagodatskikh ORCID
Pirogov Russian National Research Medical University, Moscow, Russia
Stefan Rödiger ORCID
BTU Cottbus–Senftenberg, Faculty of Health Brandenburg, Senftenberg, Germany, BTU Cottbus–Senftenberg, Faculty Environment and Natural Sciences, Senftenberg, Germany
Editor
Charlotte Soneson ORCID
Tags
qPCR bioinformatics machine learning reproducible research

GitHub Events

Total
  • Fork event: 1
Last Year
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 524
  • Total Committers: 8
  • Avg Commits per committer: 65.5
  • Development Distribution Score (DDS): 0.286
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
devSJR s****r@b****e 374
michbur m****z@g****m 122
Konstantin Blagodatskikh k****g@y****u 14
devSJR s****r@d****g 5
Dominik Rafacz d****z@s****l 3
Charlotte Soneson c****n@g****m 2
Andrej-Nikolai Spiess, PhD d****s@g****m 2
DTGT t****8@g****m 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 7
  • Total pull requests: 8
  • Average time to close issues: 5 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 6
  • Total pull request authors: 3
  • Average comments per issue: 3.57
  • Average comments per pull request: 0.13
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • markziemann (2)
  • lcolumbo (1)
  • ramiromagno (1)
  • jaybee84 (1)
  • vondoRishi (1)
  • kablag (1)
Pull Request Authors
  • michbur (4)
  • PrzeChoj (2)
  • csoneson (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • MBmca * imports
  • bcp * imports
  • changepoint * imports
  • chipPCR * imports
  • ecp * imports
  • fda.usc * imports
  • pbapply * imports
  • pracma * imports
  • qpcR * imports
  • robustbase * imports
  • segmented * imports
  • shiny * imports
  • stats * imports
  • utils * imports
  • zoo * imports
  • DT * suggests
  • RDML * suggests
  • future * suggests
  • knitr * suggests
  • listenv * suggests
  • readxl * suggests
  • rmarkdown * suggests
  • shinycssloaders * suggests
  • spelling * suggests
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  • xtable * suggests
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