cervical


Cervical cancer data measures the expressions of 714 miRNAs of human samples. There are 29 tumor and 29 non-tumor cervical samples and these two groups are treated as two separete classes.


This package applies several machine learning methods, including
SVM, bagSVM, Random Forest and CART, to RNA-Seq data.

Gokmen Zararsiz

MLSeq

Machine learning interface for RNA-Seq data

cervical function

A data frame with 58 observations on the following 715 variables.

Format

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880020/#supplementary-material-sec

Source

Cervical cancer data measures the expressions of 714 miRNAs of human samples. There are 29 tumor and 29 non-tumor cervical samples and these two groups are treated as two separete classes.

cervical: Cervical Cancer Data

Description

Usage

Arguments

Format

Source

References

Examples