Cargando…
The Model-Based Study of the Effectiveness of Reporting Lists of Small Feature Sets Using RNA-Seq Data
Ranking feature sets for phenotype classification based on gene expression is a challenging issue in cancer bioinformatics. When the number of samples is small, all feature selection algorithms are known to be unreliable, producing significant error, and error estimators suffer from different degree...
Autores principales: | Kim, Eunji, Ivanov, Ivan, Hua, Jianping, Lampe, Johanna W, Hullar, Meredith AJ, Chapkin, Robert S, Dougherty, Edward R |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470876/ https://www.ncbi.nlm.nih.gov/pubmed/28659712 http://dx.doi.org/10.1177/1176935117710530 |
Ejemplares similares
-
Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge
por: Zhao, Chen, et al.
Publicado: (2010) -
Personalized Nutrition Using Microbial Metabolite Phenotype to Stratify Participants and Non-Invasive Host Exfoliomics Reveal the Effects of Flaxseed Lignan Supplementation in a Placebo-Controlled Crossover Trial
por: Mullens, Destiny A., et al.
Publicado: (2022) -
Gene set analysis controlling for length bias in RNA-seq experiments
por: Ren, Xing, et al.
Publicado: (2017) -
Modulation of Gut Microbiota by Glucosamine and Chondroitin in a Randomized, Double-Blind Pilot Trial in Humans
por: Navarro, Sandi L., et al.
Publicado: (2019) -
An equivalence approach to the integrative analysis of feature lists
por: Sánchez-Pla, Alex, et al.
Publicado: (2019)