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gene-outlier-detection

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1.0 gene_outlier_detection-1.0-py3-none-any.whl

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Project: gene-outlier-detection
Version: 1.0
Filename: gene_outlier_detection-1.0-py3-none-any.whl
Download: [link]
Size: 15059
MD5: bf4823b25929512c8853d5c1973b1287
SHA256: a36645d040a6729c60b4cdd44c9d6173853fd879644f7d2ca54317a2331559bd
Uploaded: 2020-05-12 19:00:52 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: gene-outlier-detection
Version: 1.0
Summary: A Bayesian model for identifying gene expression outliers for individual single samples (N-of-1) when compared to a cohort of background datasets.
Author: John Vivian
Author-Email: jtvivian[at]gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6,<4.0
Requires-Dist: arviz (<0.5.0,>=0.4.0)
Requires-Dist: black (<20.0,>=19.10b0)
Requires-Dist: click (<8.0,>=7.0)
Requires-Dist: matplotlib (<4.0,>=3.0)
Requires-Dist: numpy (<2.0,>=1.16)
Requires-Dist: pandas (<0.25.0,>=0.24.1)
Requires-Dist: pymc3 (<4.0,>=3.8)
Requires-Dist: scipy (<2.0,>=1.2)
Requires-Dist: seaborn (<0.10.0,>=0.9.0)
Requires-Dist: sklearn (<0.0.1,>=0.0.0)
Requires-Dist: tables (<4.0,>=3.5)
Requires-Dist: theano (<2.0.0,>=1.0.4)
Requires-Dist: tqdm (<5.0,>=4.31)
Description-Content-Type: text/markdown
[Description omitted; length: 10564 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry 1.0.5
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
gene_outlier_detection/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gene_outlier_detection/cli.py sha256=eIdWO0HK-K9Vb5OodzefFp2L5JwAcNDOYZCjG2sgWHg 3834
gene_outlier_detection/lib.py sha256=oz9SCCCQFkXDDWJasPMmsYabUhqLAwWyP2DJdpWXjY0 17103
gene_outlier_detection/main.py sha256=u0zLzaPYzK8gIo_-LbAKOKi-O1HIQcA9rMncA0S3zQY 3380
gene_outlier_detection/meta_runner.py sha256=FDgIbOqLWKFa2TFJ0nQV9lqgYM7XeS29PVQXMGERy1g 1936
gene_outlier_detection-1.0.dist-info/entry_points.txt sha256=X2DK_BFNs5bT-MSXSP5cgXd-qCTaVBH2_GrJG9qy1tA 76
gene_outlier_detection-1.0.dist-info/WHEEL sha256=xSvaL1DM8LOHfdyo0cCcwjZu1tC6CnCsRGWUgazvlbM 83
gene_outlier_detection-1.0.dist-info/METADATA sha256=qzvYIdCQ2QdghBvGdJJxRkg4B8WtfFEzbRO98WnQTfQ 11689
gene_outlier_detection-1.0.dist-info/RECORD — —

entry_points.txt

[console_scripts]
outlier-detection = gene_outlier_detection.meta_runner:cli