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The IDR (Irreproducible Discovery Rate) framework is a unified approach to measure the reproducibility of findings identified from replicate experiments and provide highly stable thresholds based on reproducibility.

Type Size Name Uploaded Downloads Labels
conda 76.4 kB | linux-64/idr-2.0.4.2-py36hc1659b7_1.tar.bz2  6 years and 8 months ago 345 main
conda 76.3 kB | linux-64/idr-2.0.4.2-py37hc1659b7_1.tar.bz2  6 years and 8 months ago 376 main
conda 74.1 kB | osx-64/idr-2.0.4.2-py36heacc8b8_1.tar.bz2  6 years and 8 months ago 98 main
conda 74.0 kB | osx-64/idr-2.0.4.2-py37heacc8b8_1.tar.bz2  6 years and 8 months ago 188 main
conda 114.5 kB | linux-64/idr-2.0.4.2-py36h24bf2e0_0.tar.bz2  7 years and 9 months ago 1022 main cf201901
conda 114.7 kB | linux-64/idr-2.0.4.2-py35h24bf2e0_0.tar.bz2  7 years and 9 months ago 1276 main cf201901
conda 74.0 kB | osx-64/idr-2.0.4.2-py36h24bf2e0_0.tar.bz2  7 years and 9 months ago 627 main cf201901
conda 74.4 kB | osx-64/idr-2.0.4.2-py35h24bf2e0_0.tar.bz2  7 years and 9 months ago 135 main cf201901

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