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NIPS
2003
13 years 9 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
TASLP
2011
13 years 2 months ago
Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space
—Time-domain algorithms for blind separation of audio sources can be classified as being based either on a partial or complete decomposition of an observation space. The decompo...
Zbynek Koldovský, Petr Tichavský
ETVC
2008
13 years 9 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
BMCBI
2007
126views more  BMCBI 2007»
13 years 7 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
CDC
2010
IEEE
164views Control Systems» more  CDC 2010»
13 years 2 months ago
Accuracy and decision time for a class of sequential decision aggregation rules
Abstract-- This work focuses on decentralized decision making in a population of individuals each implementing the sequential probability ratio test. The individual decisions are c...
Sandra H. Dandach, Ruggero Carli, Francesco Bullo