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Category-wide association study (CWAS). This is a data analytic tool to perform stringent association tests to find non-coding loci associated with autism spectrum disorder (ASD).
pip install cwas
PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<0.9,>=0.8<0.11.0,>=0.10.8==3.8.4<2.0.0,>=1.25.2<3.0.0,>=2.1.0<2.0.0,>=1.7.0<0.20.0,>=0.19.2<15,>=13<0.23.0,>=0.22.1<0.2,>=0.1<8.0.0,>=7.4.2<2.0.0,>=1.0.0<7.0.0,>=6.0.1<4.0.0,>=3.5.14<2.0.0,>=1.10.1<2.0.0,>=1.3.0==1.13.1<0.14.0,>=0.13.2<71.0.0,>=70.0.0<0.15.0,>=0.14.1<5.0.0,>=4.66.1<3.0.0,>=2.16.1cwas publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
PyPI lists 9 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .