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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BioSeqClass")
In most cases, you don't need to download the package archive at all.
BioSeqClass
Classification for Biological Sequences
Bioconductor version: 3.0
Extracting Features from Biological Sequences and Building Classification Model
Author: Li Hong sysptm@gmail.com
Maintainer: Li Hong <sysptm at gmail.com>
Citation (from within R,
enter citation("BioSeqClass")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BioSeqClass")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioSeqClass")
| R Script | Using the BioSeqClass Package | |
| Reference Manual |
Details
| biocViews | Classification, Software |
| Version | 1.24.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) |
| License | LGPL (>= 2.0) |
| Depends | R (>= 2.10), scatterplot3d |
| Imports | Biostrings, ipred, e1071, klaR, randomForest, class, tree, nnet, rpart, party, foreign, Biobase, utils, stats, grDevices |
| LinkingTo | |
| Suggests | scatterplot3d |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | BioSeqClass_1.24.0.tar.gz |
| Windows Binary | BioSeqClass_1.24.0.zip |
| Mac OS X 10.6 (Snow Leopard) | BioSeqClass_1.24.0.tgz |
| Mac OS X 10.9 (Mavericks) | BioSeqClass_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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