首页|University of Cambridge Reports Findings in Breast Cancer [De velopment and validation of a reliable DNA copy-number-based machine learning al gorithm (CopyClust) for breast cancer integrative cluster classification]
University of Cambridge Reports Findings in Breast Cancer [De velopment and validation of a reliable DNA copy-number-based machine learning al gorithm (CopyClust) for breast cancer integrative cluster classification]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Oncology - Breast Cancer is the s ubject of a report. According to news reporting from Cambridge, United Kingdom, by NewsRx journalists, research stated, “The Integrative Cluster subtypes (IntCl usts) provide a framework for the classification of breast cancer tumors into 10 distinct groups based on copy number and gene expression, each with unique biol ogical drivers of disease and clinical prognoses. Gene expression data is often lacking, and accurate classification of samples into IntClusts with copy number data alone is essential.”
CambridgeUnited KingdomEuropeAlgor ithmsBreast CancerCancerCyborgsEmerging TechnologiesGeneticsHealth a nd MedicineMachine LearningOncologyWomen's Health
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