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Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
(
Public Library of Science
, 2013 , Article)
Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ...
Multi-stage intra-patient template matching for prostate detection in MR volumes
(2013 , Conference Paper)
Detecting objects, a significant task in computer vision, is accompanied with many challenges. When we focus on medical images, the challenges of detecting an organ or a tumour exhibit their own specific difficulties. ...
Parameter estimation of biological phenomena: An unscented kalman filter approach
(
IEEE
, 2013 , Article)
Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models ...