leukemia_miss: desease data

In Biocomb: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis

Description

Leukemia dataset includes the bone marrow samples obtained from acute leukemia patients at the time of diagnosis: 25 acute myeloid leukemia (AML) samples; 9 T-lineage acute lymphoblastic leukemia (ALL) samples; and 38 B-lineage ALL samples. After preprocessing, the 100 genes with the largest variation across samples are selected. This dataset is the same as leukemia72 with the 5 percent of missing values.

Usage

leukemia_miss

Format

A data.frame containing 72 observations of 101 variables: 100 features and class with three diagnosis: 38 B-lineage ALL, 9 T-lineage ALL and 25 AML. It has 5 percent missing values.

Source

Handl J, Knowles J, Kell DB, Computational cluster validation in post-genomic data analysis, Bioinformatics 21:3201-3212, 2005.

See Also

data_test, datasetF6, leukemia72, leukemia72_2

Examples

# load the dataset
data(leukemia_miss)
# X95735_at
with(leukemia_miss, by(X95735_at,Class,mean,na.rm=TRUE))

# M27891_at
with(leukemia_miss,tapply(M27891_at, Class, FUN = mean,na.rm=TRUE))

Biocomb documentation built on May 1, 2019, 9:38 p.m.