Modeling zero inflation is not necessary for spatial transcriptomics

• Published in: Genome Biology Vol. 23; no. 1; pp. 118 - 19
• Main Authors: Zhao, Peiyao, Zhu, Jiaqiang, Ma, Ying, Zhou, Xiang
• Format: Journal Article
• Language: English
• Published: England BioMed Central 18.05.2022; BMC
• Subjects: Datasets; Gene expression; Genomics; Hybridization; Localization; Models, Statistical; Negative binomial model; Overdispersion; Poisson model; Sample variance; Spatial discrimination; Spatial distribution; Spatial transcriptomics; Transcriptome; Transcriptomics; Zero inflation; Poisson model; Negative binomial model; Overdispersion; Spatial transcriptomics; Zero inflation

Spatial transcriptomics are a set of new technologies that profile gene expression on tissues with spatial localization information. With technological advances, recent spatial transcriptomics data are often in the form of sparse counts with an excessive amount of zero values. We perform a comprehen...