Cargando…
A multivariate statistical test for differential expression analysis
Statistical tests of differential expression usually suffer from two problems. Firstly, their statistical power is often limited when applied to small and skewed data sets. Secondly, gene expression data are usually discretized by applying arbitrary criteria to limit the number of false positives. I...
Autores principales: | Tumminello, Michele, Bertolazzi, Giorgio, Sottile, Gianluca, Sciaraffa, Nicolina, Arancio, Walter, Coronnello, Claudia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117296/ https://www.ncbi.nlm.nih.gov/pubmed/35585166 http://dx.doi.org/10.1038/s41598-022-12246-w |
Ejemplares similares
-
MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome
por: Arancio, Walter, et al.
Publicado: (2023) -
An improvement of ComiR algorithm for microRNA target prediction by exploiting coding region sequences of mRNAs
por: Bertolazzi, Giorgio, et al.
Publicado: (2020) -
miR-1207-5p Can Contribute to Dysregulation of Inflammatory Response in COVID-19 via Targeting SARS-CoV-2 RNA
por: Bertolazzi, Giorgio, et al.
Publicado: (2020) -
RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets
por: Perconti, Giovanni, et al.
Publicado: (2019) -
Repetitive Sequence Transcription in Breast Cancer
por: Arancio, Walter, et al.
Publicado: (2022)