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CFAssay: statistical analysis of the colony formation assay

CFAssay: statistical analysis of the colony formation assay

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4634140

CFAssay: statistical analysis of the colony formation assay

About this item

Full title

CFAssay: statistical analysis of the colony formation assay

Publisher

England: BioMed Central Ltd

Journal title

Radiation oncology (London, England), 2015-11, Vol.10 (1), p.223-223, Article 223

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Colony formation assay is the gold standard to determine cell reproductive death after treatment with ionizing radiation, applied for different cell lines or in combination with other treatment modalities. Associated linear-quadratic cell survival curves can be calculated with different methods. For easy code exchange and methodological standardisation among collaborating laboratories a software package CFAssay for R (R Core Team, R: A Language and Environment for Statistical Computing, 2014) was established to perform thorough statistical analysis of linear-quadratic cell survival curves after treatment with ionizing radiation and of two-way designs of experiments with chemical treatments only.
CFAssay offers maximum likelihood and related methods by default and the least squares or weighted least squares method can be optionally chosen. A test for comparision of cell survival curves and an ANOVA test for experimental two-way designs are provided.
For the two presented examples estimated parameters do not differ much between maximum-likelihood and least squares. However the dispersion parameter of the quasi-likelihood method is much more sensitive for statistical variation in the data than the multiple R (2) coefficient of determination from the least squares method.
The dispersion parameter for goodness of fit and different plot functions in CFAssay help to evaluate experimental data quality. As open source software interlaboratory code sharing between users is facilitated.
The package is available at http://www.bioconductor.org/packages/release/bioc/html/CFAssay.html ....

Alternative Titles

Full title

CFAssay: statistical analysis of the colony formation assay

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4634140

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4634140

Other Identifiers

ISSN

1748-717X

E-ISSN

1748-717X

DOI

10.1186/s13014-015-0529-y

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