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High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer

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 of colorectal...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Int J Mol Sci
Main Authors: Long, Nguyen Phuoc, Park, Seongoh, Anh, Nguyen Hoang, Nghi, Tran Diem, Yoon, Sang Jun, Park, Jeong Hill, Lim, Johan, Kwon, Sung Won
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI 2019
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC6358915/
https://ncbi.nlm.nih.gov/pubmed/30642095
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms20020296
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