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Comparison of sparse biclustering algorithms for gene expression datasets
MOTIVATION: Gene clustering and sample clustering are commonly used to find patterns in gene expression datasets. However, genes may cluster differently in heterogeneous samples (e.g. different tissues or disease states), whilst traditional methods assume that clusters are consistent across samples....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574648/ https://www.ncbi.nlm.nih.gov/pubmed/33951731 http://dx.doi.org/10.1093/bib/bbab140 |