Cargando…
Biomarker Selection and Classification of “-Omics” Data Using a Two-Step Bayes Classification Framework
Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel two-step machine-learning framework is presented to address this need. First,...
Autores principales: | Assawamakin, Anunchai, Prueksaaroon, Supakit, Kulawonganunchai, Supasak, Shaw, Philip James, Varavithya, Vara, Ruangrajitpakorn, Taneth, Tongsima, Sissades |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3784073/ https://www.ncbi.nlm.nih.gov/pubmed/24106694 http://dx.doi.org/10.1155/2013/148014 |
Ejemplares similares
-
VarDetect: a nucleotide sequence variation exploratory tool
por: Ngamphiw, Chumpol, et al.
Publicado: (2008) -
iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies
por: Piriyapongsa, Jittima, et al.
Publicado: (2012) -
MetaSel: a metaphase selection tool using a Gaussian-based classification technique
por: Uttamatanin, Ravi, et al.
Publicado: (2013) -
Whole Genome and Exome Sequencing of Monozygotic Twins with Trisomy 21, Discordant for a Congenital Heart Defect and Epilepsy
por: Chaiyasap, Pongsathorn, et al.
Publicado: (2014) -
The Plasmodium berghei RC strain is highly diverged and harbors putatively novel drug resistance variants
por: Songsungthong, Warangkhana, et al.
Publicado: (2017)