Analysis of in situ gene expression data in terms of spatial co-expression.
InsituNet converts *in situ* sequencing data into interactive network-based visualizations, where each transcript is a node in the network and edges represent the spatial co-expression relationships between transcripts. InsituNet profiles and facilitates comparison of different 2D tissue regions by identifying spatial co-expressions that occur between transcripts both significantly more, and less, than statistically expected, given the frequency of the transcripts in the tissue. **Features** - Import spatially-resolved 2D gene expression datasets from csv files directly into Cytoscape - Interactively explore datasets within an OpenGL window embedded within the control panel - Select (irregularly-shaped) regions of interest for comparison to other regions - Statistical and thresholding options for assessment of co-expression significance - Network style based on proportion of transcripts and strength of relationship within selected areas - Continuous layout synchronization of generated networks to aid comparison. **Links** - [ Source code] - [ Documentation (work in progress)] - [ Example datasets] - [ Tutorial (work in progress)]


Works with Cytoscape 3.2


Version 1.0.2

Released 12 Sep 2017

Works with Cytoscape 3.2

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