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).
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Release files for pySingleCellNet 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pysinglecellnet-0.1.5.tar.gz | 9.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pysinglecellnet-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.1 MB
Release files / pysinglecellnet-0.1.5.tar.gz
| Download URL | pysinglecellnet-0.1.5.tar.gz |
|---|---|
| Size | 9.9 MB |
| Tags | Source |
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Release files / pysinglecellnet-0.1.5-py3-none-any.whl
| Download URL | pysinglecellnet-0.1.5-py3-none-any.whl |
|---|---|
| Size | 116.6 kB |
| Tags | Python 3 |
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