SMK

OpenML dataset with id 45100

A. Spira, J. Beane, V. Shah, K. Steiling, G. Liu, F. Schembri, S. Gilman, Y. Dumas, P. Calner, P. Sebastiani, et al, OpenML

Full work available at URL: https://api.openml.org/data/v1/download/22112161/SMK.arff

Upload date: 17 February 2023

Dataset Characteristics

Number of classes: 2
Number of features: 19,994 (numeric: 19,993, symbolic: 0 and in total binary: 0 )
Number of instances: 187
Number of instances with missing values: 0
Number of missing values: 0

Description

SMK (SMK-CAN-187) dataset

Authors: A. Spira, J. Beane, V. Shah, K. Steiling, G. Liu, F. Schembri, S. Gilman, Y. Dumas, P. Calner, P. Sebastiani, et al

Please cite: (URL): A. Spira, J. Beane, V. Shah, K. Steiling, G. Liu, F. Schembri, S. Gilman, Y. Dumas, P. Calner, P. Sebastiani, et al, Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer, Nat. Med. 13 (3) (2007) 361-366.

This page was built for dataset: SMK