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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowMap")
In most cases, you don't need to download the package archive at all.
flowMap
Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test
Bioconductor version: 2.14
flowMap quantifies the similarity of cell populations across multiple flow cytometry samples using a nonparametric multivariate statistical test. The method is able to map cell populations of different size, shape, and proportion across multiple flow cytometry samples. The algorithm can be incorporate in any flow cytometry work flow that requires accurat quantification of similarity between cell populations.
Author: Chiaowen Joyce Hsiao, Yu Qian, and Richard H. Scheuermann
Maintainer: Chiaowen Joyce Hsiao <joyce.hsiao1 at gmail.com>
Citation (from within R,
enter citation("flowMap")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowMap")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowMap")
| R Script | Multiple sample comparison in flow cytometry data with flowMap | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | FlowCytometry, MultipleComparison, Software |
| Version | 1.99.2 |
| In Bioconductor since | BioC 2.13 (R-3.0) |
| License | GPL (>=2) |
| Depends | R (>= 3.0.1), ade4 (>= 1.5-2), doParallel (>= 1.0.3), abind (>= 1.4.0), reshape2 (>= 1.2.2), ggplot2 (>= 0.9.3.1), igraph (>= 0.7.1), scales (>= 0.2.3), Matrix (>= 1.1-4), gplots (>= 2.14.1), methods (>= 2.14) |
| Imports | |
| Suggests | BiocStyle, knitr |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | flowMap_1.99.2.tar.gz |
| Windows Binary | flowMap_1.99.2.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | flowMap_1.99.2.tgz |
| Mac OS X 10.9 (Mavericks) | flowMap_1.99.2.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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