9 Result(s)
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Chapter and Conference Paper
Improved Classification Method for Detecting Potential Interactions Between Genes
Multifactor dimensionality reduction (MDR) constitutes a highly accurate classification algorithm for gene–gene interaction (GGI) identification. GGI detection quality is commonly assessed using the correct cl...
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Chapter and Conference Paper
The Service Design of Medication Administration System Based on IoT
Medication is the most common way for patients to combat illness, and following the doctor’s advice on taking medication has a tremendous impact on a patient’s healing speed. But due to a variety of conditions...
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Chapter and Conference Paper
An Improved Multi-factor Dimensionality Reduction Approach to Identify Gene-Gene Interactions
Genetic component of disease risk can be determined by gene–gene interactions. Multifactor dimensionality reduction (MDR) has widely used to identify gene–gene interactions based on the binary classification i...
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Chapter and Conference Paper
Confronting Two-Pair Primer Design Using Particle Swarm Optimization
Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) is a novel PCR technique had been applied to many SNPs (Single Nucleotide Polymorphisms) genoty** experiments successfully in the recent...
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Chapter
SNP-Flankplus: SNP ID-Centric Retrieval of Flanking Sequences
PCR is essential for many single nucleotide polymorphism (SNP) genoty** methods. However, the flanking sequences provided by dbSNP of NCBI are usually short and fixed length without further extension, thus m...
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Chapter
PSO Algorithm for Primer Design
In recent years, polymerase chain reactions (PCR) have been widely applied in medical science. The PCR technique allows a small amount of DNA to be amplified exponentially, thus ensuring that the amount of DNA...
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Chapter
An Integrated Approach Providing Exact SNP IDs from Sequences
Most of the polymorphisms among genomes are single nucleotide polymorphisms (SNPs). An SNP is a variation of the DNA sequence caused by the change of one nucleotide by another, or insertion or deletion of one ...
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Chapter
Microarray Data Feature Selection Using Hybrid GA-IBPSO
DNA microarray examples are generated by a hybridization of mRNA from sample tissues or blood to cDNA (in the case of a spotted array), or hybridization of oligonucleotide of DNA (in the case of Affymetrix chi...
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Chapter and Conference Paper
A Novel GA-Taguchi-Based Feature Selection Method
This work presents a novel GA-Taguchi-based feature selection method. Genetic algorithms are utilized with randomness for “global search” of the entire search space of the intractable search problem. Various g...
