Single-cell classification and analysis, optimized for embryonic and fetal development
Project description
pySingleCellNet
pySingleCellNet helps you classify and analyze single-cell RNA-Seq data, …
PySingleCellNet
A computational toolkit for the single cell analysis and comparison of embryos and embryo models
PySingleCellNet (PySCN) predicts the 'cell type' of query scRNA-seq data by Random forest multi-class classification. See Tan & Cahan 2019 for more details. PySCN includes functionality to aid in the analysis of engineered cell populations (i.e. cells derived via directed differentiation of pluripotent stem cells or via direct conversion).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pysinglecellnet-0.1.3.tar.gz.
File metadata
- Download URL: pysinglecellnet-0.1.3.tar.gz
- Upload date:
- Size: 9.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bbeff044a9d3e7e05ace35b1d6b2fea4f540ffcce59740ec9a58b62e5c7c33f9
|
|
| MD5 |
213a452876cb6d4ece787c3e14dc9ea0
|
|
| BLAKE2b-256 |
70763cb4b000a41e7cca10278e120b3d29ed8ba17a88d08c1f18c0b79bb5f627
|
File details
Details for the file pysinglecellnet-0.1.3-py3-none-any.whl.
File metadata
- Download URL: pysinglecellnet-0.1.3-py3-none-any.whl
- Upload date:
- Size: 148.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
79edc573cc784bc6cf3b2f67472213524f59c06477dd2fae143dea019fc39b18
|
|
| MD5 |
5732299ec1c693bb63d5d6a98446dd8f
|
|
| BLAKE2b-256 |
05d034d1721559cb72538e64b33f9e3e0cda5bf11d49c9918db8d333de005c95
|