leukemiasEset
This is the development version of leukemiasEset; for the stable release version, see leukemiasEset.
Leukemia's microarray gene expression data (expressionSet).
Bioconductor version: Development (3.22)
Expressionset containing gene expresion data from 60 bone marrow samples of patients with one of the four main types of leukemia (ALL, AML, CLL, CML) or non-leukemia.
Author: Sara Aibar, Celia Fontanillo and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain.
Maintainer: Sara Aibar <saibar at usal.es>
citation("leukemiasEset")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("leukemiasEset")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | CancerData, ChipOnChipData, ExperimentData, GEO, Genome, Homo_sapiens_Data, LeukemiaCancerData, MicroarrayData, Tissue, TissueMicroarrayData |
| Version | 1.45.0 |
| License | GPL (>= 2) |
| Depends | R (>= 2.10.1), Biobase(>= 2.5.5) |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | geNetClassifier, multiclassPairs |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | leukemiasEset_1.45.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/leukemiasEset |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/leukemiasEset |
| Package Short Url | https://bioconductor.org/packages/leukemiasEset/ |
| Package Downloads Report | Download Stats |