Literature DB >> 2582974

Modified Box-Cox transform for modulating the dynamic range of flow cytometry data.

J A Dvorak1, S M Banks.   

Abstract

We describe an algorithm, Vout = Integer ([2(12)-1/2(12 lambda)-1] V lambda in-1) + 1; lambda greater than 0 based upon Box-Cox transformations as an alternative to nonlinear electronic amplifiers to expand or compress high- or low-amplitude flow cytometer-derived signals. If the indexing parameter lambda less than 1, input channels in the high-amplitude input range are compressed in the output range as occurs when an electronic logarithmic amplifier is used. However, if lambda greater than 1, input channels in the low-amplitude input range are compressed in the output range as occurs when an electronic power amplifier is used. Our modified Box-Cox transform can be implemented either during data collection or off-line for the transformation of previously collected raw data. The transform is the equivalent of an infinite class of nonlinear amplifiers. As the transform is implemented in software, it does not suffer from many of the disadvantages of nonlinear electronic amplifiers.

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Year:  1989        PMID: 2582974     DOI: 10.1002/cyto.990100622

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  3 in total

1.  Optimizing transformations for automated, high throughput analysis of flow cytometry data.

Authors:  Greg Finak; Juan-Manuel Perez; Andrew Weng; Raphael Gottardo
Journal:  BMC Bioinformatics       Date:  2010-11-04       Impact factor: 3.169

2.  Immunophenotype Discovery, Hierarchical Organization, and Template-Based Classification of Flow Cytometry Samples.

Authors:  Ariful Azad; Bartek Rajwa; Alex Pothen
Journal:  Front Oncol       Date:  2016-08-31       Impact factor: 6.244

3.  flowVS: channel-specific variance stabilization in flow cytometry.

Authors:  Ariful Azad; Bartek Rajwa; Alex Pothen
Journal:  BMC Bioinformatics       Date:  2016-07-28       Impact factor: 3.169

  3 in total

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