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SpaCEM(3): a software for biological module detection when data is incomplete, high dimensional and dependent
Summary: Among classical methods for module detection, SpaCEM(3) provides ad hoc algorithms that were shown to be particularly well adapted to specific features of biological data: high-dimensionality, interactions between components (genes) and integrated treatment of missingness in observations. T...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3051335/ https://www.ncbi.nlm.nih.gov/pubmed/21296754 http://dx.doi.org/10.1093/bioinformatics/btr034 |