lymphoma: Lymphoma Gene Expression Dataset

In KODAMA: Knowledge Discovery by Accuracy Maximization

Lymphoma Gene Expression Dataset

Description

This dataset consists of gene expression profiles of the three most prevalent adult lymphoid malignancies: diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and B-cell chronic lymphocytic leukemia (B-CLL). The dataset consists of 4,682 mRNA genes for 62 samples (42 samples of DLBCL, 9 samples of FL, and 11 samples of B-CLL). Missing value are imputed and data are standardized as described in Dudoit, et al. (2002).

Usage

data(lymphoma)

Value

A list with the following elements:

data	Gene expression data. A matrix with 62 rows and 4,682 columns.
class	Class index. A vector with 62 elements.

References

Cacciatore S, Luchinat C, Tenori L
Knowledge discovery by accuracy maximization.
Proc Natl Acad Sci U S A 2014;111(14):5117-22. doi: 10.1073/pnas.1220873111. Link

Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA
KODAMA: an updated R package for knowledge discovery and data mining.
Bioinformatics 2017;33(4):621-623. doi: 10.1093/bioinformatics/btw705. Link

Alizadeh AA, Eisen MB, Davis RE, et al.
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.
Nature 2000;403(6769):503-511.

Dudoit S, Fridlyand J, Speed TP
Comparison of discrimination methods for the classification of tumors using gene expression data.
J Am Stat Assoc 2002;97(417):77-87.

Examples

data(lymphoma)
class=1+as.numeric(lymphoma$class)
cc=pca(lymphoma$data)$x
plot(cc,pch=21,bg=class)

kk=KODAMA.matrix(lymphoma$data)
cc=KODAMA.visualization(kk,"t-SNE")

plot(cc,pch=21,bg=class)

KODAMA documentation built on Jan. 12, 2023, 5:08 p.m.