Cargando…
Sequential analysis of transcript expression patterns improves survival prediction in multiple cancers
BACKGROUND: Long-term survival in numerous cancers often correlates with specific whole transcriptome profiles or the expression patterns of smaller numbers of transcripts. In some instances, these are better predictors of survival than are standard classification methods such as clinical stage or h...
Autores principales: | Mandel, Jordan, Avula, Raghunandan, Prochownik, Edward V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140376/ https://www.ncbi.nlm.nih.gov/pubmed/32264880 http://dx.doi.org/10.1186/s12885-020-06756-x |
Ejemplares similares
-
Expression patterns of small numbers of transcripts from functionally-related pathways predict survival in multiple cancers
por: Mandel, Jordan, et al.
Publicado: (2019) -
Diagnostic and prognostic implications of ribosomal protein transcript expression patterns in human cancers
por: Dolezal, James M., et al.
Publicado: (2018) -
Reconciling the Biological and Transcriptional Variability of Hepatoblastoma with Its Mutational Uniformity
por: Prochownik, Edward V.
Publicado: (2021) -
Premature aging and reduced cancer incidence associated with near-complete body-wide Myc inactivation
por: Wang, Huabo, et al.
Publicado: (2023) -
Inhibition of hepatocellular carcinoma by metabolic normalization
por: Wang, Huabo, et al.
Publicado: (2019)