Supplementary Materials for Gene Co-expression Network Estimation in Spatial Transcriptomics
The spatial transcriptomics method depicts the positioning of a single cell on a spatially structured tissue. Knowledge about gene expressions and the spatial distribution of mRNA allows us to uncover cellular and subcellular heterogeneity in tissues, tumors, and immune cells. Spatial transcriptomics provides a unique opportunity to decipher both the cellular and subcellular architecture in both tissues and individual cells along with detection of gene co-expression patterns at both levels. These approaches are very insightful to study disease propagation in the field of embryology, oncology, and histology. The SpaceX method is a statistical tool to quantify spatially varying gene co-expression patterns in a tissue consists of different cell type based or sptailly contiguous clusters.
This is a supplementary file of the paper named SpaceX: Gene Co-expression Network Estimation in Spatial Transcriptomics. The sectional contents of the supplementary file is mentioned below.
- We start with a detailed description of the methodology in section A.
- In section B, further details of simulation study have been discussed.
- Eploratory analysis and more findings of real data analysis have been laid out in section C.
- Finally, we discuss the detailed steps for implementation of the SpaceX package in section D.