Project description

CellClear: Enhancing scRNA-seq Data Quality via Biologically-Informed Ambient RNA Correction

CellClear can be installed from the python repository pypi (https://pypi.org/project/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".

(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

These details have not been verified by PyPI

0.0.2

Aug 20, 2024

This version

0.0.1

Jul 22, 2024

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Jul 22, 2024 Source

Uploaded Jul 22, 2024 Python 3

Details for the file cellclear-0.0.1.tar.gz.

Hashes for cellclear-0.0.1.tar.gz
Algorithm	Hash digest
SHA256	`2c1804d2ed7732dfb3240716bd0f64e98dbc6677db80bfcec220940e4e8b2d48`
MD5	`0249000533ca0b1cd12fc394f618f78b`
BLAKE2b-256	`c1f89ee72cf5a8a35adc65c2a1d88550ecd1880ca0b7916aaba5e5ada88e6467`

Details for the file CellClear-0.0.1-py3-none-any.whl.

Hashes for CellClear-0.0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`1cf5d29b066f3de3f482daf1edf5df7140bcd6d3af582a9caa9217e3d78348b5`
MD5	`ec131e9b369555f9143cb4cab81d0c70`
BLAKE2b-256	`39d7fa7647d6f097496ebac27ae4db2aac14c459915cbe33d8b3276e64871934`