A survey on evolutionary algorithm based hybrid intelligence in bioinformatics

S Li, L Kang, XM Zhao - BioMed research international, 2014 - Wiley Online Library
With the rapid advance in genomics, proteomics, metabolomics, and other types of omics
technologies during the past decades, a tremendous amount of data related to molecular …

[HTML][HTML] A genetic algorithm–support vector machine method with parameter optimization for selecting the tag SNPs

I Ilhan, G Tezel - Journal of biomedical informatics, 2013 - Elsevier
SNPs (Single Nucleotide Polymorphisms) include millions of changes in human genome,
and therefore, are promising tools for disease-gene association studies. However, this kind …

Soft computing methods in bioinformatics: a comprehensive review

B KARLIK - Mathematical and Computational Applications, 2013 - mdpi.com
Applications of genomic and proteomic, epigenetic, pharmacogenomics, and systems
biology have shown increased a lot, resulting in an explosion in the amount of highly …

Complex diseases SNP selection and classification by hybrid association rule mining and artificial neural network—based evolutionary algorithms

A Boutorh, A Guessoum - Engineering Applications of Artificial Intelligence, 2016 - Elsevier
Recently, various techniques have been applied to classify Single Nucleotide
Polymorphisms (SNP) data as they have been shown to be implicated in various human …

Autophagy-related IRGM genes confer susceptibility to ankylosing spondylitis in a Chinese female population: a case–control study

Q Xia, M Wang, X Yang, X Li, X Zhang, S Xu… - Genes & …, 2017 - nature.com
It is known that ankylosing spondylitis (AS) and inflammatory bowel disease (IBD) shared a
common genetic component. The gist of current study is to assess the role of IBD-associated …

Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique

K Pasupa, W Rathasamuth, S Tongsima - BMC bioinformatics, 2020 - Springer
Background The number of porcine Single Nucleotide Polymorphisms (SNPs) used in
genetic association studies is very large, suitable for statistical testing. However, in breed …

Assessing effectiveness of many-objective evolutionary algorithms for selection of tag SNPs

R Moqa, I Younas, M Bashir - Plos one, 2022 - journals.plos.org
Background Studies on genome-wide associations help to determine the cause of many
genetic diseases. Genome-wide associations typically focus on associations between single …

Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer

WC Chang, YY Fang, HW Chang, LY Chuang… - Cancer Cell …, 2014 - Springer
Background ORAI1 channels play an important role for breast cancer progression and
metastasis. Previous studies indicated the strong correlation between breast cancer and …

Genetic algorithm-generated SNP barcodes of the mitochondrial D-loop for chronic dialysis susceptibility

JB Chen, LY Chuang, YD Lin, CW Liou, TK Lin… - Mitochondrial …, 2014 - Taylor & Francis
Background and aims: Single nucleotide polymorphism (SNP) interaction analysis can
simultaneously evaluate the complex SNP interactions present in complex diseases …

[HTML][HTML] Multiple ant colony algorithm method for selecting tag SNPs

B Liao, X Li, W Zhu, R Li, S Wang - Journal of biomedical informatics, 2012 - Elsevier
The search for the association between complex disease and single nucleotide
polymorphisms (SNPs) or haplotypes has recently received great attention. Finding a set of …