DeBi: Discovering Differentially Expressed Biclusters using a Frequent Itemset Approach

BACKGROUND: The analysis of massive high throughput data via clustering algorithms is very important for elucidating gene functions in biological systems. However, traditional clustering methods have several drawbacks. Biclustering overcomes these limitations by grouping genes and samples simultaneo...

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Detalles Bibliográficos
Autores principales: Serin, Akdes, Vingron, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3152888/
https://www.ncbi.nlm.nih.gov/pubmed/21699691
http://dx.doi.org/10.1186/1748-7188-6-18

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3152888/
https://www.ncbi.nlm.nih.gov/pubmed/21699691
http://dx.doi.org/10.1186/1748-7188-6-18

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