This repository contains code, data, and relevant information to replicate the analysis and results described in Circuit Analysis of the Drosophila Brain using Connectivity-based Neuronal Classification Reveals Organization of Key Communication Pathways, by Ketan Mehta, Rebecca F. Goldin, and Giorgio A. Ascoli.
data
- Flycircuit neuron list along with other metadata and descriptors
- Strength connectome from FlyCircuit data
generate_connectomes
- Generate stochastic binary connectomes using FlyCircuit Data
- Automatic picking of the dimenisonalty of embedding parameter using the scree plot
clustering
- MBHAC Clustering
- IVC Consensus Clustering
- Creating the final connectivity-based classes
- Obtaining the edge probabilities by paramterizing as a SBM
stat_analysis
- NMI: normalized mutual information to compare different classification schemes
- ARI: adjusted Rand index
labels
- Classification labels
- Graph-theoretic labels
random_walk : Performing random walk on the connectivity-based circuit absorbtion-driftiness
spad : Spatial distribution of the neurons using FlyCricuit and natverse atlas
morph_pvec : Morphology and persistence vector classification
supporting_information : Supplementary figures, tables, files and movie-clips.