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Displaying 1-22 out of 22 total
Mutagenic Primer Design for Mismatch PCR-RFLP SNP Genotyping Using a Genetic Algorithm
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Cheng-Hong Yang, Yu-Huei Cheng, Cheng-Huei Yang, Li-Yeh Chuang
Issue Date:May 2012
pp. 837-845
Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is useful in small-scale basic research studies of complex genetic diseases that are associated with single nucleotide polymorphism (SNP). Designing a feasible primer pair is an ...
 
Feature Selection Using Memetic Algorithms
Found in: Convergence Information Technology, International Conference on
By Cheng-San Yang, Li-Yeh Chuang, Yu-Jung Chen, Cheng-Hong Yang
Issue Date:November 2008
pp. 416-423
The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable classification accuracy. In th...
 
Operon Prediction Using Chaos Embedded Particle Swarm Optimization
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Li-Yeh Chuang,Cheng-Huei Yang,Jui-Hung Tsai,Cheng-Hong Yang
Issue Date:September 2013
pp. 1299-1309
Operons contain valuable information for drug design and determining protein functions. Genes within an operon are co-transcribed to a single-strand mRNA and must be coregulated. The identification of operons is, thus, critical for a detailed understanding...
 
Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Cheng-Hong Yang, Yu-Da Lin, Li-Yeh Chuang, Hsueh-Wei Chang
Issue Date:March 2013
pp. 361-371
Genetic association is a challenging task for the identification and characterization of genes that increase the susceptibility to common complex multifactorial diseases. To fully execute genetic studies of complex diseases, modern geneticists face the cha...
 
A Quantum Genetic Algorithm for Operon Prediction
Found in: Advanced Information Networking and Applications, International Conference on
By Li-Yeh Chuang,Yi-Cheng Chiang,Cheng-Hong Yang
Issue Date:March 2012
pp. 269-275
Operon is a fundamental unit of transcription which is usually used to understand gene regulations and functions in entire genomes. Detecting operon experimentally is difficult and time-consuming, thus many bioinformatics algorithms have been proposed to p...
 
Odds Ratio-Based Genetic Algorithm for Prediction of SNP-SNP Interactions in Breast Cancer Association Study
Found in: Advanced Information Networking and Applications Workshops, International Conference on
By Li-Yeh Chuang,Ming-Cheng Lin,Hsueh-Wei Chang,Cheng-Hong Yang
Issue Date:March 2012
pp. 920-925
Accumulating evidence has shown that individual commonly occurring single nucleotide polymorphisms (SNPs) are associated with the cancer risks. Hence, determining the disease-causing SNPs have become an important issue. In order to explore SNP-SNP interact...
 
Analysis of SNP Interaction Combinations to Determine Breast Cancer Risk with PSO
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Li-Yeh Chuang,Ming-Cheng Lin,Hsueh-Wei Chang,Cheng-Hong Yang
Issue Date:October 2011
pp. 291-294
Many association studies analyze the genotype frequencies of case and control data to predict susceptibility to diseases and cancers. An increasing number of studies has shown that the risk of getting diseases and cancers is associated with the co-occurren...
 
Particle Swarm Optimization with Extremal Optimization for the Prediction of CpG Islands in the Mammal Genome
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Li-Yeh Chuang,Ming-Cheng Lin,Cheng-Hong Yang
Issue Date:October 2011
pp. 189-194
Regions with abundant GC nucleotides in a genome, which are often referred to as CpG islands, have been used in methylation analysis and the prediction of promoter regions. In this study, we propose PSOEO (Particle Swarm Optimization with Extremal Optimiza...
 
A Novel Chaotic Inertia Weight Particle Swarm Optimization for PCR Primer Design
Found in: Technologies and Applications of Artificial Intelligence, International Conference on
By Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang
Issue Date:November 2010
pp. 373-378
Many primer design methods have been proposed to provide feasible primer sets for performing polymerase chain reaction (PCR) experiments. However, the majority of these methods require a long time to obtain a feasible solution since large quantities of DNA...
 
Genetic Algorithm for the Design of Confronting Two-Pair Primers
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsueh-Wei Chang
Issue Date:June 2009
pp. 242-247
Many single nucleotide polymorphisms (SNPs) genotyping techniques have been developed but most of them are expensive. Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) is a restriction enzyme-free and economic genotyping but its primer...
 
Boundary Extract and Reduction of Mass Data in Reverse Engineering
Found in: Data, Privacy, and E-Commerce, International Symposium on
By Cheng Xiaomin, Cheng Hong, Yang Wei, Zhang Jianjian
Issue Date:November 2007
pp. 18-21
Boundary extract and reduction of mass data in reverse engineering was studied in this paper by adopting variable precision rough set theory, introducing error factors, building up decision tables of mass data and making attributes reduction. This process ...
 
SNP-SNP Interaction Using Gauss Chaotic Map Particle Swarm Optimization to Detect Susceptibility to Breast Cancer
Found in: 2014 47th Hawaii International Conference on System Sciences (HICSS)
By Li-Yeh Chuang,Yu-Da Lin,Hsueh-Wei Chang,Cheng-Hong Yang
Issue Date:January 2014
pp. 2548-2554
SNP-SNP interaction studies focus on the investigation of associated variations in disease susceptibility. In recent years, increased attention has been focused on the analysis of huge combinations of SNPs in association studies. The large number of calcul...
   
An Improved Natural PCR-RFLP Primer Design Method
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Li-Yeh Chuang,Yu-Da Lin,Hsueh-Wei Chang,Cheng-Hong Yang
Issue Date:October 2011
pp. 92-99
The polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) technique is often used in laboratories and many basic research studies of complex genetic diseases associated with single nucleotide polymorphisms (SNP). When performing PCR...
 
PCR-RFLP Primer Design Using Particle Swarm Optimization Combined with Chaotic Logistic Map
Found in: Advanced Information Networking and Applications Workshops, International Conference on
By Li-Yeh Chuang,Yu-Da Lin,Hsueh-Wei Chang,Cheng-Hong Yang
Issue Date:March 2012
pp. 956-961
Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) is an important technique in basic research of complex genetic diseases associated with single nucleotide polymorphisms (SNPs). Performing PCR-RFLP for SNP genotyping requires fe...
 
Chaos Embedded Particle Swarm Optimization for Tag Single Nucleotide Polymorphism Selection
Found in: Advanced Information Networking and Applications, International Conference on
By Li-Yeh Chuang,Wei-Li Huang,Cheng-Hong Yang
Issue Date:March 2012
pp. 283-288
Single Nucleotide Polymorphisms (SNPs) are the most common variants in the human genome. Disease analysis costs can be reduced by selecting meaningful SNPs, i.e., tagging the SNP selection. We propose a method, called chaos particle swarm optimization (CPS...
 
Operon Prediction Using Particle Swarm Optimization and Reinforcement Learning
Found in: Technologies and Applications of Artificial Intelligence, International Conference on
By Li-Yeh Chuang, Jui-Hung Tsai, Cheng-Hong Yang
Issue Date:November 2010
pp. 366-372
An operon is a fundamental unit of transcription contains a specific function of genes for the construction and regulation of networks at the whole genome level. The operon prediction is critical for the understanding of gene regulation and functions in ne...
 
A Hybrid Feature Selection Method Using Gene Expression Data
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Li-Yeh Chuang, Kuo-Chuan Wu, Cheng-Hong Yang
Issue Date:June 2009
pp. 100-106
In this paper, correlation-based feature selection (CFS) and the Taguchi-genetic algorithm (TGA) method were combined in a hybrid method, and the K-nearest neighbor (KNN) method with leave-one-out cross-validation (LOOCV) served as a classifier for eleven ...
 
A Wireless Emulation Management System for Learning Mandarin Phonetic and Chanjei Morse Code
Found in: Advanced Learning Technologies, IEEE International Conference on
By Cheng-Hong Yang, Li-Yeh Chuang, Shyang-Lung Lin, Chi-Min Wang
Issue Date:July 2005
pp. 106-107
Assistive technology (AT) is becoming increasingly important in improving mobility, language and learning capabilities of persons who have disabilities enabling them to function independently and to improve their social opportunities. Morse code has been s...
   
Operon Prediction Using Chaos Embedded Particle Swarm Optimization
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Cheng-Hong Yang, Cheng-Huei Yang, Jui-Hung Tsai, Li-Yeh Chuang
Issue Date:September 2013
pp. 1299-1309
Operons contain valuable information for drug design and determining protein functions. Genes within an operon are co-transcribed to a single-strand mRNA and must be coregulated. The identification of operons is, thus, critical for a detailed understanding...
     
Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Cheng-Hong Yang, Hsueh-Wei Chang, Li-Yeh Chaung, Yu-Da Lin
Issue Date:March 2013
pp. 361-371
Genetic association is a challenging task for the identification and characterization of genes that increase the susceptibility to common complex multifactorial diseases. To fully execute genetic studies of complex diseases, modern geneticists face the cha...
     
The effects of initial population in genetic search for time constrained traveling salesman problems
Found in: Proceedings of the 1993 ACM conference on Computer science (CSC '93)
By Cheng-Hong Yang, Kendall E. Nygard
Issue Date:February 1993
pp. 378-383
We describe the application of Genetic Algorithms to the traveling salesman problem with time windows. A new type of crossover operator, called edge-type crossover, with a heuristically selected initial population, is used in the genetic search. When compa...
     
Conversational statistical comparison of routing algorithms
Found in: Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's (SAC '92)
By Cheng-Hong Yang
Issue Date:March 1992
pp. 1150-1158
This paper describes the effects of program restructuring in a dataflow environment. Previous studies showed that dataflow programs can exhibit locality and that a memory hierarchy is feasible in a dataflow environment. This study shows that the order in w...
     
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