FlowFP : A Bioconductor Package for Fingerprinting Flow Cytometric Data
Joint Authors
Holyst, Herbert A.
Rogers, Wade T.
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-09-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
A new software package called flowFP for the analysis of flow cytometry data is introduced.
The package, which is tightly integrated with other Bioconductor software for analysis of flow cytometry, provides tools to transform raw flow cytometry data into a form suitable for direct input into conventional statistical analysis and empirical modeling software tools.
The approach of flowFP is to generate a description of the multivariate probability distribution function of flow cytometry data in the form of a “fingerprint.” As such, it is independent of a presumptive functional form for the distribution, in contrast with model-based methods such as Gaussian Mixture Modeling.
FlowFP is computationally efficient and able to handle extremely large flow cytometry data sets of arbitrary dimensionality.
Algorithms and software implementation of the package are described.
Use of the software is exemplified with applications to data quality control and to the automated classification of Acute Myeloid Leukemia.
American Psychological Association (APA)
Rogers, Wade T.& Holyst, Herbert A.. 2009. FlowFP : A Bioconductor Package for Fingerprinting Flow Cytometric Data. Advances in Bioinformatics،Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-453471
Modern Language Association (MLA)
Rogers, Wade T.& Holyst, Herbert A.. FlowFP : A Bioconductor Package for Fingerprinting Flow Cytometric Data. Advances in Bioinformatics No. 2009 (2009), pp.1-11.
https://search.emarefa.net/detail/BIM-453471
American Medical Association (AMA)
Rogers, Wade T.& Holyst, Herbert A.. FlowFP : A Bioconductor Package for Fingerprinting Flow Cytometric Data. Advances in Bioinformatics. 2009. Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-453471
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453471