To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowFP")
In most cases, you don't need to download the package archive at all.
flowFP
Fingerprinting for Flow Cytometry
Bioconductor version: 3.0
Fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.
Author: Herb Holyst <holyst at mail.med.upenn.edu>, Wade Rogers <rogersw at mail.med.upenn.edu>
Maintainer: Herb Holyst <holyst at mail.med.upenn.edu>
Citation (from within R,
enter citation("flowFP")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowFP")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowFP")
| R Script | Fingerprinting for Flow Cytometry | |
| Reference Manual | ||
| Text | README | |
| Text | NEWS |
Details
| biocViews | CellBasedAssays, Clustering, FlowCytometry, Software, Visualization |
| Version | 1.24.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) |
| License | Artistic-2.0 |
| Depends | R (>= 2.10), flowCore, flowViz |
| Imports | Biobase, BiocGenerics(>= 0.1.6), flowCore, flowViz, graphics, grDevices, methods, stats, stats4 |
| LinkingTo | |
| Suggests | RUnit |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | flowBin |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | flowFP_1.24.0.tar.gz |
| Windows Binary | flowFP_1.24.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | flowFP_1.24.0.tgz |
| Mac OS X 10.9 (Mavericks) | flowFP_1.24.0.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
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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