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Searching for best lower dimensional visualization angles for high dimensional RNA-Seq data
The accumulation of RNA sequencing (RNA-Seq) gene expression data in recent years has resulted in large and complex data sets of high dimensions. Exploratory analysis, including data mining and visualization, reveals hidden patterns and potential outliers in such data, but is often challenged by the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6046202/ https://www.ncbi.nlm.nih.gov/pubmed/30013849 http://dx.doi.org/10.7717/peerj.5199 |