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CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
13 years 7 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
ICCV
2009
IEEE
15 years 20 days ago
A Riemannian Analysis of 3D Nose Shapes For Partial Human Biometrics
In this paper we explore the use of shapes of noses for performing partial human biometrics. The basic idea is to represent nasal surfaces using indexed collections of isocurves,...
Hassen drira, Boulbaba Ben Amor, Anuj Srivastava, ...
BMCBI
2010
171views more  BMCBI 2010»
13 years 7 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...