Cargando…
Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique
BACKGROUND: The number of porcine Single Nucleotide Polymorphisms (SNPs) used in genetic association studies is very large, suitable for statistical testing. However, in breed classification problem, one needs to have a much smaller porcine-classifying SNPs (PCSNPs) set that could accurately classif...
Autores principales: | Pasupa, Kitsuchart, Rathasamuth, Wanthanee, Tongsima, Sissades |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251909/ https://www.ncbi.nlm.nih.gov/pubmed/32456608 http://dx.doi.org/10.1186/s12859-020-3471-4 |
Ejemplares similares
-
Virtual screening by a new Clustering-based Weighted Similarity Extreme Learning Machine approach
por: Pasupa, Kitsuchart, et al.
Publicado: (2018) -
Identifying SME customers from click feedback on mobile banking apps: Supervised and semi-supervised approaches
por: Tungjitnob, Suchat, et al.
Publicado: (2021) -
SELM: Siamese extreme learning machine with application to face biometrics
por: Kudisthalert, Wasu, et al.
Publicado: (2022) -
Identification of SNPs and INDELS in swine transcribed sequences using short oligonucleotide microarrays
por: Bischoff, Steve R, et al.
Publicado: (2008) -
A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction
por: Wu, Zipeng, et al.
Publicado: (2023)