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A general index for linear and nonlinear correlations for high dimensional genomic data
BACKGROUND: With the advance of high throughput sequencing, high-dimensional data are generated. Detecting dependence/correlation between these datasets is becoming one of most important issues in multi-dimensional data integration and co-expression network construction. RNA-sequencing data is widel...
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| 出版年: | BMC Genomics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7706065/ https://ncbi.nlm.nih.gov/pubmed/33256599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-020-07246-x |
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