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» Statistical significance in biological sequence analysis
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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
ICIP
2010
IEEE
14 years 9 months ago
Correlation histogram analysis of depth-enhanced 3D video coding
This paper introduces a correlation histogram method for analyzing the different components of depth-enhanced 3D video representations. Depth-enhanced 3D representations such as m...
Philipp Merkle, Jordi Bayo Singla, Karsten Mü...
BMCBI
2007
159views more  BMCBI 2007»
14 years 12 months ago
Detecting differential expression in microarray data: comparison of optimal procedures
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
Elena Perelman, Alexander Ploner, Stefano Calza, Y...
TCBB
2008
126views more  TCBB 2008»
14 years 11 months ago
Graphical Models of Residue Coupling in Protein Families
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...
TKDE
2008
156views more  TKDE 2008»
14 years 11 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang