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proteomics-downstream-analysis

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0.1.3 proteomics_downstream_analysis-0.1.3-py3-none-any.whl

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Project: proteomics-downstream-analysis
Version: 0.1.3
Filename: proteomics_downstream_analysis-0.1.3-py3-none-any.whl
Download: [link]
Size: 31288
MD5: b6f99781a58909d49429bb6299395624
SHA256: 548f72fc50c4383ae7511360c04da091bc169802086e4452408117a8a77036e6
Uploaded: 2023-07-05 15:48:31 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: proteomics-downstream-analysis
Version: 0.1.3
Summary: A package for downstream data analysis of proteomics data
Author: Vu Duc Tung
Author-Email: tungvuduc[at]outlook.de
Home-Page: https://github.com/vuductung/proteomics-downstream-anlaysis
Keywords: proteomics,downstream analysis,data analysis,data visualization,mass spectrometry
Requires-Python: >=3.6.1
Requires-Dist: adjustText
Requires-Dist: goatools
Requires-Dist: gseapy
Requires-Dist: matplotlib
Requires-Dist: matplotlib-venn
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: plotly
Requires-Dist: pyarrow
Requires-Dist: pycirclize
Requires-Dist: pyteomics
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: statsmodels
Requires-Dist: streamlit
Requires-Dist: umap
Requires-Dist: UpSetPlot
Requires-Dist: venn
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3251 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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proteomics_downstream_analysis/contamination.py sha256=4S9rBujTjnlKR8BrOMeaESsBTm9PcBEsTcG4KPijgzM 13127
proteomics_downstream_analysis/dataqualityinformation.py sha256=L4d7WxTG4cpzKPIRcOJbxsf5F6I-7uSKuU4djRoChVw 15578
proteomics_downstream_analysis/dianndata.py sha256=w_vA-tZyMySFQJf5GDKTpsEaAf6T7t_U9VTbPaFZYkQ 4425
proteomics_downstream_analysis/dimensionalityreduction.py sha256=enxaDpZ_GMuxxlafUyhv_lfc6Jngyo3IxIm4rCC4fls 18822
proteomics_downstream_analysis/enrichmentanalysis.py sha256=Bfi8Yj8302_zSkRb9Ox8xJDGUovTRspdqan3YhK_Z_w 22567
proteomics_downstream_analysis/imputer.py sha256=Q5N8Fh37DWS7BQ-sRr03ppMSqNQsV4ZRy1dZC7iodgM 1433
proteomics_downstream_analysis/multileveldata.py sha256=TDrGrsBV0_wvZmVoJ21UnXFm0jpz7Cc0lRWgtJwkfe0 3305
proteomics_downstream_analysis/preprocessing.py sha256=e8A9Mg4Tft5G-8cuqqd1p8tn66gJCsMoP9wy_k0RHFE 6342
proteomics_downstream_analysis/preprocessing_preprocessor.py sha256=GEYeNeU7TKm-q1q_85Ct1aoRiNPXQdPIWs1Hk_RWnIQ 5603
proteomics_downstream_analysis/preprocessor.py sha256=JOqj9GmzP3WU5zY4zanMki0El2Q4UQjbCQWc2dLz96Q 1116
proteomics_downstream_analysis/statistics.py sha256=V3pyO5YEQyFKld6zGr-FsAkK27XtYXA89r6sU3q28MQ 5620
proteomics_downstream_analysis/utils.py sha256=RPvb27SJb83Gc2n0iSFCuVY_9St2yq_dTZKBOxrWiRU 509
proteomics_downstream_analysis/visualizer.py sha256=YDCuDjHSCkh4p3Ts33-2Bk-rs4A-c2JEgQh7JpZ4R88 16006
proteomics_downstream_analysis-0.1.3.dist-info/LICENSE sha256=hjois-OEmctcp6SDHr7IOHtXdtwstBhRbNpBVVMpDiU 1061
proteomics_downstream_analysis-0.1.3.dist-info/METADATA sha256=Xkr-OalTdNbAZKaLGvvYN7_YY8pbaJLpisetE-hAxkQ 4158
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proteomics_downstream_analysis-0.1.3.dist-info/RECORD — —

top_level.txt

proteomics_downstream_analysis