SEEM

Spatial Embedded Edge Model for C. Elegans Neural Network

Steps

1. convert.ipynb
   • convert data files into graphs
2. penpals.ipynb
   • find penpals for each neuron
3. edgeDistance.ipynb
   • find distance of each edge within a graph
4. SEEM.ipynb
   • run SEEM on each graph
5. overlap.ipynb
   • find overlaps between each pair of graphs

Comparison Graph Creation

RDDAM.ipynb - creates Random Distance Dependent Attachment Graphs
random.ipynb - creates Random Graphs

Analysis Tools

overlap.ipynb - looks at overlaps between graphs
modules.ipynb - applies module/community detection algorithms to graphs
stats.ipynb - calculates statistics for graphs
display.ipynb - majority of plots are found here

Data

• data/ - contains all the data files
  • **/compiled/ - contains the compiled graphs
  • **/original/ - contains the original graphs that are not manipulated or edited
  • **/source/ - contains the source files for the graphs
  • images/ - contains plot images