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.

  1. We start with a detailed description of the methodology in section A.
  2. In section B, further details of simulation study have been discussed.
  3. Eploratory analysis and more findings of real data analysis have been laid out in section C.
  4. Finally, we discuss the detailed steps for implementation of the SpaceX package in section D.