Overview and Walkthrough

What is CAJAL?
Computing Intracellular Distance Matrices
Computing GW Distances
Inferring Associations with Cell Morphology
Computing Average Cell Shapes
Variants of Gromov-Wasserstein
Analysis of Subcellular Organization

TUTORIALS

Tutorial 1: Predicting the Molecular Type of Neurons
Tutorial 2: Genetic Determinants of Neuronal Morphology
Tutorial 3: Computing Morphological Distances in Large Datasets
Tutorial 4: Integration and Analysis of Multimodal Data
Tutorial 5: Unbalanced and Fused Morphological distances
Tutorial 6: Morphology-Aware Analysis of Subcellular Protein Localization (CellAligner)
Tutorial 7: Morphology-Aware Analysis of Subcellular Protein Localization in Large Datasets (dCellAligner-OT)

API

Processing SWC Files
Sampling from SWC Files
Processing Obj Meshes
Sampling from Segmented Images
Running Gromov-Wasserstein
Second Lower Bound and Quantized Gromov-Wasserstein
Combined SLB and Quantized GW Nearest Neighbors Algorithm
Laplacian Score
Average Cell Shapes
Clustering
Unbalanced Gromov-Wasserstein module
Fused Gromov-Wasserstein Module
Ternary Plots
Weighted Nearest Neighbors
Subcellular Protein Localization
Subcellular Protein Localization (Deep Learning)

cajal

Python Module Index

Python Module Index

c | s


	c
	`cajal`
	`cajal.combined_slb_qgw`
	`cajal.qgw`
	`cajal.sample_seg`
	`cajal.ugw`

	s
	`src`
	`src.cajal.run_gw`
	`src.cajal.sample_mesh`

© Copyright 2022, Pablo Cámara.

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