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Batch effect detection and correction in RNA-seq data using machine-learning-based automated assessment of quality
BACKGROUND: The constant evolving and development of next-generation sequencing techniques lead to high throughput data composed of datasets that include a large number of biological samples. Although a large number of samples are usually experimentally processed by batches, scientific publications...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284682/ https://www.ncbi.nlm.nih.gov/pubmed/35836114 http://dx.doi.org/10.1186/s12859-022-04775-y |