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
em 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.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Perfilação da Expressão Gênica
/
Transcriptoma
Tipo de estudo:
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Am J Physiol Lung Cell Mol Physiol
Assunto da revista:
BIOLOGIA MOLECULAR
/
FISIOLOGIA
Ano de publicação:
2023
Tipo de documento:
Article