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stat.ME2026

Non-ignorable fuzziness in granular counts: the case of RNA-seq data

Antonio Calcagnì, Arianna Consiglio, Przemyslaw Grzegorzewski +1

RNA-seq count data are often affected by read-to-gene alignment ambiguity, especially in high-dimensional transcriptomics. This type of ambiguity can be conveniently expressed thro…