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...

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Detalles Bibliográficos
Autores principales: Long, Nguyen Phuoc, Park, Seongoh, Anh, Nguyen Hoang, Nghi, Tran Diem, Yoon, Sang Jun, Park, Jeong Hill, Lim, Johan, Kwon, Sung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358915/
https://www.ncbi.nlm.nih.gov/pubmed/30642095
http://dx.doi.org/10.3390/ijms20020296

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358915/
https://www.ncbi.nlm.nih.gov/pubmed/30642095
http://dx.doi.org/10.3390/ijms20020296

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