Cargando…
A New Combinatorial Optimization Approach for Integrated Feature Selection Using Different Datasets: A Prostate Cancer Transcriptomic Study
BACKGROUND: The joint study of multiple datasets has become a common technique for increasing statistical power in detecting biomarkers obtained from smaller studies. The approach generally followed is based on the fact that as the total number of samples increases, we expect to have greater power t...
Autores principales: | Puthiyedth, Nisha, Riveros, Carlos, Berretta, Regina, Moscato, Pablo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480358/ https://www.ncbi.nlm.nih.gov/pubmed/26106884 http://dx.doi.org/10.1371/journal.pone.0127702 |
Ejemplares similares
-
Identification of Differentially Expressed Genes through Integrated Study of Alzheimer’s Disease Affected Brain Regions
por: Puthiyedth, Nisha, et al.
Publicado: (2016) -
Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset
por: Milioli, Heloisa H., et al.
Publicado: (2016) -
Basal-like breast cancer: molecular profiles, clinical features and survival outcomes
por: Milioli, Heloisa H., et al.
Publicado: (2017) -
GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
por: Arefin, Ahmed Shamsul, et al.
Publicado: (2012) -
The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set
por: Milioli, Heloisa Helena, et al.
Publicado: (2015)