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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowFit")
In most cases, you don't need to download the package archive at all.
flowFit
Estimate proliferation in cell-tracking dye studies
Bioconductor version: 2.14
This package estimate the proliferation of a cell population in cell-tracking dye studies. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.
Author: Davide Rambaldi
Maintainer: Davide Rambaldi <davide.rambaldi at gmail.com>
Citation (from within R,
enter citation("flowFit")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowFit")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowFit")
| R Script | Fitting Functions for Flow Cytometry Data | |
| Reference Manual |
Details
| biocViews | CellBasedAssays, FlowCytometry, Software |
| Version | 1.2.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) |
| License | Artistic-2.0 |
| Depends | R (>= 2.12.2) |
| Imports | flowCore, flowViz, graphics, methods, kza, minpack.lm, gplots |
| Suggests | flowFitExampleData |
| 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 | flowFit_1.2.0.tar.gz |
| Windows Binary | flowFit_1.2.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | flowFit_1.2.0.tgz |
| Mac OS X 10.9 (Mavericks) | flowFit_1.2.0.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
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