High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer
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DOI: 10.3390/ijms20020296
Abstract: The advancement of bioinformatics and machine learning has facilitated the discovery and validation of omics-based biomarkers. This study employed a novel approach combining multi-platform transcriptomics and cutting-edge algorithms to introduce novel signatures for accurate diagnosis… read more here.
Keywords: colorectal cancer; cancer; discovery validation; throughput omics ... See more keywords