Identification of Block-Structured Covariance Matrix on an Example of Metabolomic Data
Modern investigation techniques (e.g., metabolomic, proteomic, lipidomic, genomic, transcriptomic, phenotypic), allow to collect high-dimensional data, where the number of observations is smaller than the number of features. In such cases, for statistical analyzing, standard methods cannot be applie...
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Formato: | article |
Lenguaje: | EN |
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MDPI AG
2021
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Acceso en línea: | https://doaj.org/article/73c315c0f9af43f1b48a7627fe433471 |
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