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AutoClassWeb: a simple web interface for Bayesian clustering of omics data
OBJECTIVE: Data clustering is a common exploration step in the omics era, notably in genomics and proteomics where many genes or proteins can be quantified from one or more experiments. Bayesian clustering is a powerful unsupervised algorithm that can classify several thousands of genes or proteins....
| 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/PMC9264669/ https://www.ncbi.nlm.nih.gov/pubmed/35799281 http://dx.doi.org/10.1186/s13104-022-06129-6 |