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Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans)
BACKGROUND: Data transformations are commonly used in bioinformatics data processing in the context of data projection and clustering. The most used Euclidean metric is not scale invariant and therefore occasionally inappropriate for complex, e.g., multimodal distributed variables and may negatively...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202178/ https://www.ncbi.nlm.nih.gov/pubmed/35710346 http://dx.doi.org/10.1186/s12859-022-04769-w |