FlyEye Analysis is part of the NU FlyEye platform for studying gene expression in Drosophila eye imaginal discs. The analysis package helps users analyze data measured using FlyEye Silhouette.
Given one or more .silhouette files, FlyEye Analysis facilitates:
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Dynamic Measurements. Infer expression dynamics from static data
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Data Querying. Select cells by developmental age and cell type
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Dynamic Analysis. Analyze and visualize expression dynamics
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Spatial Analysis. Detect and quantify spatial expression patterns
Please refer to the documentation page for tips on getting started with analyzing your data.
Dependencies
- Python 3.6+
Required:
Optional:
Installation
The simplest method is to install via pip:
pip install flyeye
Examples
We've provided a couple tutorial notebooks to help get you started with analyzing your own data. For an example of a complete project utilizing the entire NU FlyEye platform, please refer to our study of Pointed and Yan expression during retinal patterning.
Authors
Metadata
Release files for flyeye 0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| flyeye-0.6.tar.gz | 36.1 kB | Details |
Release files / flyeye-0.6.tar.gz
| Download URL | flyeye-0.6.tar.gz |
|---|---|
| Size | 36.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
10e8abe3db21935bb66920c356631743242b8305bc47585219f85e563698bf12
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twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.0
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