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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...
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| 出版年: | PeerJ |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
PeerJ Inc.
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6046202/ https://ncbi.nlm.nih.gov/pubmed/30013849 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.5199 |
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