Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studies

• Published in: Nature methods Vol. 17; no. 2; pp. 193 - 200
• Main Authors: Sun, Shiquan, Zhu, Jiaqiang, Zhou, Xiang
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.02.2020; Nature Publishing Group
• Subjects: 631/114/2415; 631/114/794; 631/1647/2217/2018; 631/61/212/2019; Algorithms; Analysis; Bioinformatics; Biological Microscopy; Biological Techniques; Biomedical and Life Sciences; Biomedical Engineering/Biotechnology; Datasets; Gene expression; Gene Expression Regulation; Genes; Genetic research; Humans; Life Sciences; Likelihood Functions; Proteomics; Spatial analysis; Spatial data; Statistical analysis; Statistical methods; Statistics; Transcriptome

Identifying genes that display spatial expression patterns in spatially resolved transcriptomic studies is an important first step toward characterizing the spatial transcriptomic landscape of complex tissues. Here we present a statistical method, SPARK, for identifying spatial expression patterns o...