Cargando…
Modeling zero inflation is not necessary for spatial transcriptomics
BACKGROUND: 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. RESULTS: W...
Autores principales: | Zhao, Peiyao, Zhu, Jiaqiang, Ma, Ying, Zhou, Xiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116027/ https://www.ncbi.nlm.nih.gov/pubmed/35585605 http://dx.doi.org/10.1186/s13059-022-02684-0 |
Ejemplares similares
-
Structural zeroes and zero-inflated models
por: HE, Hua, et al.
Publicado: (2014) -
A comparison of zero-inflated and hurdle models for modeling zero-inflated count data
por: Feng, Cindy Xin
Publicado: (2021) -
Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
por: Choi, Kwangbom, et al.
Publicado: (2020) -
On the equivalence of one‐inflated zero‐truncated and zero‐truncated one‐inflated count data likelihoods
por: Böhning, Dankmar
Publicado: (2022) -
SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomics
por: Zhu, Jiaqiang, et al.
Publicado: (2023)