Primary-breast-cancer-vs-Normal-breast-tissue
OpenML dataset with id 43726
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102551/Primary-breast-cancer-vs-Normal-breast-tissue.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 1,928 (numeric: 1,927, symbolic: 0 and in total binary: 0 )
Number of instances: 133
Number of instances with missing values: 0
Number of missing values: 0
Context
Tumor microRNA expression profiling identifies circulating microRNAs for earlier breast cancer detection.
Due to microRNA role in tumorigenesis and remarkable stability in body fluids, microRNAs (miRNAs) are emerging as a promising diagnostic tool. The aim of this study was to identify tumor miRNA signatures for the discrimination of breast cancer and the intrinsic molecular subtypes, and the study in plasma of the status of the most significant ones in order to identify potential circulating biomarkers for breast cancer detection.
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE58606
Content
The cols are each microRNA name and the rows are the samples. The values are microarray expression data.
Acknowledgements
Matamala N, Vargas MT, Gonzlez-Cmpora R, Miambres R et al. Tumor microRNA expression profiling identifies circulating microRNAs for early breast cancer detection. Clin Chem 2015 Aug;61(8):1098-106. PMID: 26056355
Inspiration
Use this data to practice making predictive models from machine learning/deep learning algorithms on gene expression profiling data.
This page was built for dataset: Primary-breast-cancer-vs-Normal-breast-tissue
