Curveball
Predicting competition results from growth curves
This open-source library and application implement the method described in:
Ram Y, Dellus-Gur E, Bibi M, Karkare K, Obolski U, Feldman MW, Cooper TF, Berman J, Hadany L. (2019) Predicting microbial relative growth in a mixed culture from growth curve data. Proceedings of the National Academy of Sciences USA
Please see the documentation for more information.
Metadata
Release files for curveball 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| curveball-0.3.0.tar.gz | 2.2 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| curveball-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.9 MB
Release files / curveball-0.3.0.tar.gz
| Download URL | curveball-0.3.0.tar.gz |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Release files / curveball-0.3.0-py3-none-any.whl
| Download URL | curveball-0.3.0-py3-none-any.whl |
|---|---|
| Size | 3.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Security for curveball 0.3.0
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