Hadamard Kernel SVM with applications for breast cancer outcome predictions

BACKGROUND: Breast cancer is one of the leading causes of deaths for women. It is of great necessity to develop effective methods for breast cancer detection and diagnosis. Recent studies have focused on gene-based signatures for outcome predictions. Kernel SVM for its discriminative power in dealin...

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Detalles Bibliográficos
Autores principales: Jiang, Hao, Ching, Wai-Ki, Cheung, Wai-Shun, Hou, Wenpin, Yin, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763304/
https://www.ncbi.nlm.nih.gov/pubmed/29322919
http://dx.doi.org/10.1186/s12918-017-0514-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763304/
https://www.ncbi.nlm.nih.gov/pubmed/29322919
http://dx.doi.org/10.1186/s12918-017-0514-1

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