Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers

Machine learning techniques for cancer prediction and biomarker discovery can hasten cancer detection and significantly improve prognosis. Recent “OMICS” studies which include a variety of cancer and normal tissue samples along with machine learning approaches have the potential to further accelerat...

Descripción completa

Detalles Bibliográficos
Autores principales: Mohammed, Akram, Biegert, Greyson, Adamec, Jiri, Helikar, Tomáš
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689641/
https://www.ncbi.nlm.nih.gov/pubmed/29156751
http://dx.doi.org/10.18632/oncotarget.21127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689641/
https://www.ncbi.nlm.nih.gov/pubmed/29156751
http://dx.doi.org/10.18632/oncotarget.21127

Ejemplares similares