Robust identification of molecular phenotypes using semi-supervised learning

Robust identification of molecular phenotypes using semi-supervised learning

Abstract Background Modern molecular profiling techniques are yielding vast amounts of data from patient samples that could be utilized with machine learning methods to provide important biological insights and improvements in patient outcomes. Unsupervised methods have been successfully used to ide...

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Bibliographic Details
Main Authors: Heinrich Roder, Carlos Oliveira, Lelia Net, Benjamin Linstid, Maxim Tsypin, Joanna Roder
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Clustering
Molecular phenotype
Semi-supervised learning
Online Access:http://link.springer.com/article/10.1186/s12859-019-2885-3

Internet

http://link.springer.com/article/10.1186/s12859-019-2885-3

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