CellClear: Enhancing scRNA-seq Data Quality via Biologically-Informed Ambient RNA Correction
Installation
CellClear can be installed from the python repository pypi (https://pypi.org/project/CellClear/)
Running CellClear
A typical CellClear run with default settings would look like this:
CellClear correct_expression --filtered_mtx_path filtered_feature_bc_matrix --raw_mtx_path raw_feature_bc_matrix --prefix test --output .
For full usage details with additional options, see "CellClear correct_expression --help".
CellClear outputs
(1) Determine the ambient RNA expression level
(2) Give the identified ambient genes
(3) Remove the ambient RNA from each cell and output a new matrix
1 maintainer
Metadata
1 maintainer
Release files for CellClear 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cellclear-0.0.3.tar.gz | 18.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| CellClear-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.7 kB
Release files / cellclear-0.0.3.tar.gz
| Download URL | cellclear-0.0.3.tar.gz |
|---|---|
| Size | 18.0 kB |
| Tags | Source |
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Release files / CellClear-0.0.3-py3-none-any.whl
| Download URL | CellClear-0.0.3-py3-none-any.whl |
|---|---|
| Size | 20.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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