A novel scan statistics approach for clustering identification and comparison in binary genomic data

BACKGROUND: In biomedical research a relevant issue is to identify time intervals or portions of a n-dimensional support where a particular event of interest is more likely to occur than expected. Algorithms that require to specify a-priori number/dimension/length of clusters assumed for the data su...

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Detalles Bibliográficos
Autores principales: Pellin, Danilo, Di Serio, Clelia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046198/
https://www.ncbi.nlm.nih.gov/pubmed/28185547
http://dx.doi.org/10.1186/s12859-016-1173-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046198/
https://www.ncbi.nlm.nih.gov/pubmed/28185547
http://dx.doi.org/10.1186/s12859-016-1173-8

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