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Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
BACKGROUND: High throughput RNA sequencing is a powerful approach to study gene expression. Due to the complex multiple-steps protocols in data acquisition, extreme deviation of a sample from samples of the same treatment group may occur due to technical variation or true biological differences. The...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324992/ https://www.ncbi.nlm.nih.gov/pubmed/32600248 http://dx.doi.org/10.1186/s12859-020-03608-0 |