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BMCBI
2006
121views more  BMCBI 2006»
13 years 6 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
BMCBI
2006
173views more  BMCBI 2006»
13 years 6 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
BMCBI
2007
138views more  BMCBI 2007»
13 years 6 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
TCAD
2008
114views more  TCAD 2008»
13 years 6 months ago
Three-Dimensional Chip-Multiprocessor Run-Time Thermal Management
Three-dimensional integration has the potential to improve the communication latency and integration density of chip-level multiprocessors (CMPs). However, the stacked highpower de...
Changyun Zhu, Zhenyu (Peter) Gu, Li Shang, Robert ...
TMI
2008
116views more  TMI 2008»
13 years 6 months ago
Reduced Encoding Diffusion Spectrum Imaging Implemented With a Bi-Gaussian Model
Diffusion spectrum imaging (DSI) can map complex fiber microstructures in tissues by characterizing their 3-D water diffusion spectra. However, a long acquisition time is required ...
Chun-Hung Yeh, Kuan-Hung Cho, Hsuan-Cheng Lin, Jiu...