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BicPAMS: software for biological data analysis with pattern-based biclustering
BACKGROUND: Biclustering has been largely applied for the unsupervised analysis of biological data, being recognised today as a key technique to discover putative modules in both expression data (subsets of genes correlated in subsets of conditions) and network data (groups of coherently interconnec...
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| Publié dans: | BMC Bioinformatics |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5290636/ https://ncbi.nlm.nih.gov/pubmed/28153040 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1493-3 |
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