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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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| Опубликовано в: : | BMC Bioinformatics |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5046198/ https://ncbi.nlm.nih.gov/pubmed/28185547 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1173-8 |
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