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» Error margin analysis for feature gene extraction
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BMCBI
2006
115views more  BMCBI 2006»
13 years 5 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 2 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
JDCTA
2010
172views more  JDCTA 2010»
13 years 1 hour ago
A Method of Bearing Fault Feature Extraction Based on Improved Wavelet Packet and Hilbert Analysis
In order to supply a gap of current resonance vibration and STFT demodulation method applied to rolling bearing fault feature extraction of city rail vehicle, a fault diagnosis me...
Jian-wei Yang, De-chen Yao, Guo-qiang Cai, Hai-bo ...
BMEI
2008
IEEE
13 years 7 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
ICDAR
2009
IEEE
13 years 2 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An