Cargando…
Predicting prediction: A systematic workflow to analyze factors affecting the classification performance in genomic biomarker discovery
High throughput technologies in genomics enable the analysis of small alterations in gene expression levels. Patterns of such deviations are an important starting point for the discovery and verification of new biomarker candidates. Identifying such patterns is a challenging task that requires sophi...
Autores principales: | Netzer, Michael, Baumgartner, Christian, Baumgarten, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645616/ https://www.ncbi.nlm.nih.gov/pubmed/36350811 http://dx.doi.org/10.1371/journal.pone.0276607 |
Ejemplares similares
-
Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy
por: Handler, Michael, et al.
Publicado: (2017) -
Modeling and Classification of Kinetic Patterns of Dynamic Metabolic Biomarkers in Physical Activity
por: Breit, Marc, et al.
Publicado: (2015) -
Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study
por: Kusonmano, Kanthida, et al.
Publicado: (2012) -
Bioinformatic-driven search for metabolic biomarkers in disease
por: Baumgartner, Christian, et al.
Publicado: (2011) -
Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets
por: Forouzandeh, Amir, et al.
Publicado: (2022)