Post hoc survival analyses using RNAseq data: handle with care.
Am J Physiol Lung Cell Mol Physiol
; 324(1): L1-L4, 2023 01 01.
Article
en En
| MEDLINE
| ID: mdl-36410024
ABSTRACT
With the advent of next-generation sequencing technologies, there has been a dramatic increase in the availability of paired clinical and transcriptomic data in a variety of disease states. For basic science researchers, this has provided a valuable opportunity for querying the impact of the transcript levels of a gene on disease survival in humans. However, there are a multitude of methodological and technical considerations to evaluate before embarking on these analyses. Herein, we provide a brief description of statistical considerations involved in these analyses, geared toward basic scientists who may not necessarily routinely use such statistical models as part of their studies.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Perfilación de la Expresión Génica
/
Transcriptoma
Tipo de estudio:
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Am J Physiol Lung Cell Mol Physiol
Asunto de la revista:
BIOLOGIA MOLECULAR
/
FISIOLOGIA
Año:
2023
Tipo del documento:
Article