A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data

BACKGROUND: Investigations into novel biomarkers using omics techniques generate large amounts of data. Due to their size and numbers of attributes, these data are suitable for analysis with machine learning methods. A key component of typical machine learning pipelines for omics data is feature sel...

Descripción completa

Detalles Bibliográficos
Autores principales: Swan, Anna L, Stekel, Dov J, Hodgman, Charlie, Allaway, David, Alqahtani, Mohammed H, Mobasheri, Ali, Bacardit, Jaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315157/
https://www.ncbi.nlm.nih.gov/pubmed/25923811
http://dx.doi.org/10.1186/1471-2164-16-S1-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315157/
https://www.ncbi.nlm.nih.gov/pubmed/25923811
http://dx.doi.org/10.1186/1471-2164-16-S1-S2

Ejemplares similares