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Displaying 1-5 out of 5 total
Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Hsi-Che Liu,Pei-Chen Peng,Tzung-Chien Hsieh,Ting-Chi Yeh,Chih-Jen Lin,Chien-Yu Chen,Jen-Yin Hou,Lee-Yung Shih,Der-Cherng Liang
Issue Date:July 2013
pp. 1
The amount of gene expression data of microarray has grown exponentially. To apply them for extensive studies, integrated analysis of cross-laboratory (cross-lab) data becomes a trend and thus choosing an appropriate feature selection method is an essentia...
 
Prediction of Outer Membrane Proteins by Support Vector Machines Using Combinations of Gapped Amino Acid Pair Compositions
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Ssu-Hua Huang, Ru-Sheng Liu, Chien-Yu Chen, Ya-Ting Chao, Shu-Yuan Chen
Issue Date:October 2005
pp. 113-120
Discriminating outer membrane proteins from proteins with other subcellular localizations and with other folding classes are both important to predict further their functions and structures. In this paper, we propose a method for discriminating outer membr...
 
The Combination of Kaiser Window and Moving Average for the Low-Pass Filtering of the Remote ECG Signals
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Ying-Wen Bai, Wen-Yang Chu, Chien-Yu Chen, Yi-Ting Lee, Yi-Ching Tsai, Cheng-Hung Tsai
Issue Date:June 2004
pp. 273
After an analog ECG signal is transferred into digital format, a suitable digital filter can be used to suppress the high-frequency embedded noise. In this paper, we use the equiripple FIR low-pass filter by superimposing of the optimal method, the Butterw...
 
An Efficient Mechanism for Prediction of Protein-Ligand Interactions Based on Analysis of Protein Tertiary Substructures
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Darby Tien-Hau Chang, Chien-Yu Chen, Yen-Jen Oyang, Hsueh-Fen Juan, Hsuan-Cheng Huang
Issue Date:May 2004
pp. 427
Analysis of protein-ligand interactions is a fundamental issue in drug design. As the detailed and accurate analysis of protein-ligand interactions involves calculation of binding free energy based on thermodynamics and even quantum mechanics, which is hig...
 
Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Der-Cherng Liang, Hsi-Che Liu, Jen-Yin Hou, Lee-Yung Shih, Pei-Chen Peng, Tzung-Chien Hsieh, Chien-Yu Chen, Chih-Jen Lin, Ting-Chi Yeh
Issue Date:May 2013
pp. 593-604
The amount of gene expression data of microarray has grown exponentially. To apply them for extensive studies, integrated analysis of cross-laboratory (cross-lab) data becomes a trend, and thus, choosing an appropriate feature selection method is an essent...
     
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