A novel scan statistics approach for clustering identification and comparison in binary genomic data
Crossref DOI link: https://doi.org/10.1186/s12859-016-1173-8
Published Online: 2016-09-22
Published Print: 2016-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pellin, Danilo
Di Serio, Clelia