diameter-synthesis


Namediameter-synthesis JSON
Version 0.6.1 PyPI version JSON
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home_pagehttps://diameter-synthesis.readthedocs.io
SummaryDiametrize cells.
upload_time2024-05-15 14:15:03
maintainerNone
docs_urlNone
authorBlue Brain Project, EPFL
requires_python>=3.8
licenseApache License 2.0
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# Diameter synthesis

This code aims at generating synthetic diameters for neurons, with parameters learned from a set of biological neurons.


## Installation

Use pip:

```bash
pip install diameter-synthesis
```

## Main usage

### Step 1: Building models

In folder `example`, you first have to modify `create_jsons.py` to suit your needs.

You have the following important parameters for the dict `extract_models_params`:

- `morph_path`: path to morphology files
- `mtypes_sort`: how to learn distributions: `all` to use all together, `mtypes` to use by mtypes , `super_mtypes` to use home made cells types (see `diameter_types` below)
- `models`: to create several models (for now they are all the same, just different realisation of random numbers)
- `neurite_types`: types of neurite to learn parameters for
- `extra_params`: dict of additional model parameters

### Step 2: Building diameters

Then simply run `./run_models.sh` to create the models (saved in a json file).

In `create_jsons.py`, the dict `generate_diameters_params` needs to be updated, too, with entries matching the previous dict.
The path in `new_morph_path` will be where the new morphologies will be saved.

Then run `./run_diamters.sh` to generate diameters.


## Additional scripts

Several additional scripts in folder `scripts`:

- `diameter-checks`: run the diameter-check code (bluepymm) on the biological and sampled cells
- `diameter_types`: cluster mtypes using distributions of surface areas (uses two privates repositories a the moment)
- `extract_morphometrics`: from bio and sample cells, extracts and plot distribution of surface area and diameter as a function of branch order and path lengths
- `extract_morphologies`: from a cell release, find the ones that can be run through diameter-check
- `plot_morphologies`: plot all morphologies in mtype folders


## Examples

The `examples` folder contains a simple example that will fetch morphologies from [neuromorpho.org](http://neuromorpho.org), learn a diameter model, rediametrize these morphologies, and perform some analysis of the results to compare original and diametrized morphologies.
This example can simply be run using the following command:
```bash
./run.sh
```


## Funding & Acknowledgment

The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology.

For license and authors, see `LICENSE.txt` and `AUTHORS.md` respectively.

Copyright © 2021-2022 Blue Brain Project/EPFL

            

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    "description": "[![Version](https://img.shields.io/pypi/v/diameter-synthesis)](https://github.com/BlueBrain/diameter-synthesis/releases)\n[![Build status](https://github.com/BlueBrain/diameter-synthesis/actions/workflows/run-tox.yml/badge.svg?branch=main)](https://github.com/BlueBrain/diameter-synthesis/actions)\n[![Codecov.io](https://codecov.io/github/BlueBrain/diameter-synthesis/coverage.svg?branch=main)](https://codecov.io/github/BlueBrain/diameter-synthesis?branch=main)\n[![License](https://img.shields.io/badge/License-GPLv3-blue)](https://github.com/BlueBrain/diameter-synthesis/blob/main/LICENSE.txt)\n[![Documentation status](https://readthedocs.org/projects/diameter-synthesis/badge/?version=latest)](https://diameter-synthesis.readthedocs.io/)\n[![DOI](https://img.shields.io/badge/DOI-10.1016/j.celrep.2022.110586-blue)](https://doi.org/10.1016/j.celrep.2022.110586)\n\n\n# Diameter synthesis\n\nThis code aims at generating synthetic diameters for neurons, with parameters learned from a set of biological neurons.\n\n\n## Installation\n\nUse pip:\n\n```bash\npip install diameter-synthesis\n```\n\n## Main usage\n\n### Step 1: Building models\n\nIn folder `example`, you first have to modify `create_jsons.py` to suit your needs.\n\nYou have the following important parameters for the dict `extract_models_params`:\n\n- `morph_path`: path to morphology files\n- `mtypes_sort`: how to learn distributions: `all` to use all together, `mtypes` to use by mtypes , `super_mtypes` to use home made cells types (see `diameter_types` below)\n- `models`: to create several models (for now they are all the same, just different realisation of random numbers)\n- `neurite_types`: types of neurite to learn parameters for\n- `extra_params`: dict of additional model parameters\n\n### Step 2: Building diameters\n\nThen simply run `./run_models.sh` to create the models (saved in a json file).\n\nIn `create_jsons.py`, the dict `generate_diameters_params` needs to be updated, too, with entries matching the previous dict.\nThe path in `new_morph_path` will be where the new morphologies will be saved.\n\nThen run `./run_diamters.sh` to generate diameters.\n\n\n## Additional scripts\n\nSeveral additional scripts in folder `scripts`:\n\n- `diameter-checks`: run the diameter-check code (bluepymm) on the biological and sampled cells\n- `diameter_types`: cluster mtypes using distributions of surface areas (uses two privates repositories a the moment)\n- `extract_morphometrics`: from bio and sample cells, extracts and plot distribution of surface area and diameter as a function of branch order and path lengths\n- `extract_morphologies`: from a cell release, find the ones that can be run through diameter-check\n- `plot_morphologies`: plot all morphologies in mtype folders\n\n\n## Examples\n\nThe `examples` folder contains a simple example that will fetch morphologies from [neuromorpho.org](http://neuromorpho.org), learn a diameter model, rediametrize these morphologies, and perform some analysis of the results to compare original and diametrized morphologies.\nThis example can simply be run using the following command:\n```bash\n./run.sh\n```\n\n\n## Funding & Acknowledgment\n\nThe development of this software was supported by funding to the Blue Brain Project, a research center of the \u00c9cole polytechnique f\u00e9d\u00e9rale de Lausanne (EPFL), from the Swiss government\u2019s ETH Board of the Swiss Federal Institutes of Technology.\n\nFor license and authors, see `LICENSE.txt` and `AUTHORS.md` respectively.\n\nCopyright \u00a9 2021-2022 Blue Brain Project/EPFL\n",
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