Sciweavers

86 search results - page 1 / 18
» Probabilistic hierarchical clustering for biological data
Sort
View
RECOMB
2002
Springer
14 years 5 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
13 years 11 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
BMCBI
2007
146views more  BMCBI 2007»
13 years 5 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,...
NETCOOP
2009
Springer
13 years 11 months ago
Probabilistic Analysis of Hierarchical Cluster Protocols for Wireless Sensor Networks
Wireless sensor networks are designed to extract data from the deployment environment and combine sensing, data processing and wireless communication to provide useful information ...
Ingemar Kaj
ICML
2004
IEEE
14 years 5 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy