Flow Cytometry-Based Classification in Cancer Research: A View on Feature Selection

In this paper, we study the problem of feature selection in cancer-related machine learning tasks. In particular, we study the accuracy and stability of different feature selection approaches within simplistic machine learning pipelines. Earlier studies have shown that for certain cases, the accurac...

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Detalles Bibliográficos
Autores principales: Hassan, S. Sakira, Ruusuvuori, Pekka, Latonen, Leena, Huttunen, Heikki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827794/
https://www.ncbi.nlm.nih.gov/pubmed/27081305
http://dx.doi.org/10.4137/CIN.S30795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827794/
https://www.ncbi.nlm.nih.gov/pubmed/27081305
http://dx.doi.org/10.4137/CIN.S30795

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