Deep learning identifies erroneous microarray-based, gene-level conclusions in literature

More than 110 000 publications have used microarrays to decipher phenotype-associated genes, clinical biomarkers and gene functions. Microarrays rely on digital assaying the fluorescence signals of arrays. In this study, we retrospectively constructed raw images for 37 724 published microarray data,...

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Detalles Bibliográficos
Autores principales: Qin, Yanan, Yi, Daiyao, Chen, Xianghao, Guan, Yuanfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489595/
https://www.ncbi.nlm.nih.gov/pubmed/34617014
http://dx.doi.org/10.1093/nargab/lqab089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489595/
https://www.ncbi.nlm.nih.gov/pubmed/34617014
http://dx.doi.org/10.1093/nargab/lqab089

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