Metadata-Version: 2.1
Name: Blauwal3-SingleCell
Version: 1.7.2
Summary: 蓝鲸数据挖掘软件包的单细胞数据分析附加组件。
Home-page: https://github.com/biolab/orange3-single-cell
Author: 大圣实验楼
Author-email: dashenglab@163.com
License: GPLv3+
Project-URL: Bug Tracker, https://github.com/biolab/orange3-single-cell/issues
Project-URL: Documentation, https://singlecell.biolab.si/docs/
Project-URL: Source Code, https://github.com/biolab/orange3-single-cell
Keywords: orange3 add-on
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: Blauwal3>=3.38.0
Requires-Dist: Blauwal3-bioinformatics
Requires-Dist: fastdtw==0.3.2
Requires-Dist: pandas>=0.23
Requires-Dist: loompy>=2.0.10
Requires-Dist: xlrd>=2.0.1
Requires-Dist: openpyxl
Requires-Dist: anndata>=0.6.21
Requires-Dist: numpy
Requires-Dist: scikit-learn
Provides-Extra: doc
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: recommonmark; extra == "doc"
Requires-Dist: sphinx-rtd-theme; extra == "doc"
Requires-Dist: docutils; extra == "doc"
Provides-Extra: package
Requires-Dist: twine; extra == "package"
Requires-Dist: wheel; extra == "package"
Provides-Extra: test
Requires-Dist: coverage; extra == "test"

Blauwal3 Single Cell
======================

The Single Cell add-on for [Orange3](http://orange.biolab.si) adds functionality
for analysis of single cell data. The widgets enable gene filtering,
preprocessing, batch effect removal, gene and cell scoring and cluster analysis.
The widgets can be used seamlessly with other Orange widgets, including those
from [Orange3-Bioinformatics](https://github.com/biolab/orange3-bioinformatics)
add-on.

Features
--------
#### Explore the Diversity of Cells
* load data from any platform and filter outlier cells
* normalize expression values across samples and platforms
* identify and explore sub-populations with a sample and across multiple samples

#### Discover New Marker Genes
* identify signature genes for each subpopulation using multiple methods
* use gene ontology enrichment to explore the biological meaning and identify cell types

#### Predict New Cell Types
* build classifiers to identify the cell type of each subpopulation
* use classifier on new data samples to predict cell types and focus on interesting cell type populations
