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Serine-Arginine Splicing Factors

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Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data.

BMC bioinformatics 32164523
BACKGROUND: Finding the tumor location in the prostate is an essential pathological step for prostate cancer diagnosis and treatment. The location of the tumor - the laterality - can be unilateral (the tumor is affecting one side of the prostate), or...
Area Under Curve Autoantigens Biomarkers, Tumor Gene Expression Regulation, Neoplastic Humans Machine Learning Magnetic Resonance Imaging Male Phosphoproteins Prostate Prostatic Neoplasms Ribonuclease P ROC Curve Serine-Arginine Splicing Factors
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