Article
A non-parametric Bayesian model for joint cell clustering and cluster matching: identification of anomalous sample phenotypes with random effects.
BMC bioinformatics - 24 Sept 2014
Dundar Murat, Akova Ferit, Yerebakan Halid Z, Rajwa Bartek
Abstract excerpt
BACKGROUND: Flow cytometry (FC)-based computer-aided diagnostics is an emerging technique utilizing modern multiparametric cytometry systems.The major difficulty in using machine-learning approaches for classification of FC data arises from limited access to a wide variety of anomalous samples for training. In consequence, any learning with an abundance of normal cases and a limited set of specific anomalous...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
