{
    "data_id": "43726",
    "name": "Primary-breast-cancer-vs-Normal-breast-tissue",
    "exact_name": "Primary-breast-cancer-vs-Normal-breast-tissue",
    "version": 1,
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    "description": "Context\nTumor microRNA expression profiling identifies circulating microRNAs for earlier breast cancer detection.\nDue 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.\nhttps:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE58606\nContent\nThe cols are each microRNA name and the rows are the samples. The values are microarray expression data.\nAcknowledgements\nMatamala 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\nInspiration\nUse this data to practice making predictive models from machine learning\/deep learning algorithms on gene expression profiling data.",
    "format": "arff",
    "uploader": "Dustin Carrion",
    "uploader_id": 30123,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 07:34:30",
    "update_comment": null,
    "last_update": "2022-03-24 07:34:30",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102551\/dataset",
    "kaggle_url": null,
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            "Primary-breast-cancer-vs-Normal-breast-tissue",
            "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 circul "
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