Cargando…
Transforming RNA-Seq Data to Improve the Performance of Prognostic Gene Signatures
Gene expression measurements have successfully been used for building prognostic signatures, i.e for identifying a short list of important genes that can predict patient outcome. Mostly microarray measurements have been considered, and there is little advice available for building multivariable risk...
Autores principales: | Zwiener, Isabella, Frisch, Barbara, Binder, Harald |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885686/ https://www.ncbi.nlm.nih.gov/pubmed/24416353 http://dx.doi.org/10.1371/journal.pone.0085150 |
Ejemplares similares
-
Development and Validation of an RNA-Seq-Based Prognostic Signature in Neuroblastoma
por: Zhou, Jian-Guo, et al.
Publicado: (2019) -
Comparison of transformations for single-cell RNA-seq data
por: Ahlmann-Eltze, Constantin, et al.
Publicado: (2023) -
Assessment of data transformations for model-based clustering of RNA-Seq data
por: Noel-MacDonnell, Janelle R., et al.
Publicado: (2018) -
scRNA‐seq data analysis method to improve analysis performance
por: Lu, Junru, et al.
Publicado: (2023) -
Novel Data Transformations for RNA-seq Differential Expression Analysis
por: Zhang, Zeyu, et al.
Publicado: (2019)