train_dia: Training Data for Diagnostic Models

In E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling

Training Data for Diagnostic Models

Description

A training dataset for diagnostic models, containing sample IDs, binary outcomes, and gene expression features.

Usage

train_dia

Format

A data frame with rows for samples and 22 columns:

sample

character. Unique identifier for each sample.

outcome

integer. The binary outcome, where 1 typically represents a positive case and 0 a negative case.

AC004637.1

numeric. Gene expression level.

AC008459.1

numeric. Gene expression level.

AC009242.1

numeric. Gene expression level.

AC016735.1

numeric. Gene expression level.

AC090125.1

numeric. Gene expression level.

AC104237.3

numeric. Gene expression level.

AC112721.2

numeric. Gene expression level.

AC246817.1

numeric. Gene expression level.

AL135841.1

numeric. Gene expression level.

AL139241.1

numeric. Gene expression level.

HYMAI

numeric. Gene expression level.

KCNIP2.AS1

numeric. Gene expression level.

LINC00639

numeric. Gene expression level.

LINC00922

numeric. Gene expression level.

LINC00924

numeric. Gene expression level.

LINC00958

numeric. Gene expression level.

LINC01028

numeric. Gene expression level.

LINC01614

numeric. Gene expression level.

LINC01644

numeric. Gene expression level.

PRDM16.DT

numeric. Gene expression level.

Details

This dataset is used to train machine learning models for diagnosis. The column names starting with 'AC', 'AL', 'LINC', etc., are feature variables.

Source

Stored in data/train_dia.rda.

E2E documentation built on Aug. 27, 2025, 1:09 a.m.