CN_N

CN_T

Methy_N

Methy_T

Expr_N

Expr_T

<p>Six matrices containing a subset of TCGA ovarian cancer data.</p>

datasets

Provides a systematic framework for
integrating multiple modalities of assays profiled on the same set of
samples. The goal is to identify genes that are altered in cancer
either marginally or consistently across different assays. The
heterogeneity among different platforms and different samples are
automatically adjusted so that the overall alteration magnitude can
be accurately inferred. See Tong and Coombes (2012)
<doi:10.1093/bioinformatics/bts561>.

Kevin Coombes

integIRTy

Integrating Multiple Modalities of High Throughput Assays Using
Item Response Theory

Pan Tong

OV function

<p>Each of the six objects (CN_N, CN_T, Methy_N, Methy_T, Expr_N, Expr_T)
  is a matrix with rows for 1000 (matched) genes and columns as samples. Gene expression, methylation
  and copy number data for 30 tumor samples and around 10 normal samples are provided.</p>

Format

Ovarian Cancer Datasets — OV

Ovarian Cancer Datasets

OV: Ovarian Cancer Datasets

Description

Usage

Arguments

Format

References