A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression

BACKGROUND: Gene expression analysis can provide useful information for analyzing complex biological mechanisms. However, many reported findings are unrepeatable due to small sample sizes relative to a large number of genes and the low signal-to-noise ratios of most gene expression datasets. RESULTS...

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Detalles Bibliográficos
Autores principales: Huang, Hai-Hui, Rao, Hao, Miao, Rui, Liang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396780/
https://www.ncbi.nlm.nih.gov/pubmed/35999505
http://dx.doi.org/10.1186/s12859-022-04887-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396780/
https://www.ncbi.nlm.nih.gov/pubmed/35999505
http://dx.doi.org/10.1186/s12859-022-04887-5

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