SpaceMarkers - Spatial Interaction Markers
Spatial transcriptomic technologies have helped to resolve the connection between gene expression and the 2D orientation of tissues relative to each other. However, the limited single-cell resolution makes it difficult to highlight the most important molecular interactions in these tissues. SpaceMarkers, R/Bioconductor software, can help to find molecular interactions, by identifying genes associated with latent space interactions in spatial transcriptomics.
Last updated 24 days ago
singlecellgeneexpressionsoftwarespatialtranscriptomics
6.23 score 4 stars 21 scripts 167 downloadsscatterHatch - Creates hatched patterns for scatterplots
The objective of this package is to efficiently create scatterplots where groups can be distinguished by color and texture. Visualizations in computational biology tend to have many groups making it difficult to distinguish between groups solely on color. Thus, this package is useful for increasing the accessibility of scatterplot visualizations to those with visual impairments such as color blindness.
Last updated 27 days ago
visualizationsinglecellcellbiologysoftwarespatial
4.89 score 7 stars 11 scripts 155 downloads