ml_data

The example data for machine learning analysis, which is the formal class 'SummarizedExperiment'. The data is obtained from the paper "The landscape of cancer cell line metabolism" and divided cancer cell lines into sensitive or resistant to SCD gene knockout evenly based on gene dependency scores (CERES). 88 lipid species were used to predict 228 cancer cell lines with a label of 0 (sensitive) or 1 (resistant) by a binary classifier.

Usage

data("ml_data")

Format

The format is: Formal class 'SummarizedExperiment' [package "SummarizedExperiment"] with assay, colData, and rowData.

Value

assay

A 228*88 matrix.

colData

A data frame with 228 observations on the following 2 variables.

rowData

A data frame with 88 observations on the following 72 variables.

Source

Li H, Ning S, Ghandi M, Kryukov GV, Gopal S, Deik A, et al. The landscape of cancer cell line metabolism. Nature medicine. 2019;25(5):850.

Examples

data(ml_data)