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» Using Bayesian networks to analyze expression data
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ICANN
2001
Springer
15 years 2 months ago
The Bayesian Committee Support Vector Machine
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
Anton Schwaighofer, Volker Tresp
BMCBI
2007
144views more  BMCBI 2007»
14 years 9 months ago
Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
CVPR
2008
IEEE
15 years 12 months ago
Automatic non-rigid registration of 3D dynamic data for facial expression synthesis and transfer
Automatic non-rigid registration of 3D time-varying data is fundamental in many vision and graphics applications such as facial expression analysis, synthesis, and recognition. De...
Sen Wang, Xianfeng David Gu, Hong Qin
BMCBI
2006
183views more  BMCBI 2006»
14 years 10 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
VIS
2005
IEEE
204views Visualization» more  VIS 2005»
15 years 11 months ago
Differential Protein Expression Analysis via Liquid-Chromatography/Mass-Spectrometry Data Visualization
Differential protein expression analysis is one of the main challenges in proteomics. It denotes the search for proteins, whose encoding genes are differentially expressed under a...
Lars Linsen, Julia Löcherbach, Matthias Berth...