Approximate any single cell data set, saving >99% of memory and runtime.
Project description
scquill
Approximate any single cell data set, saving >99% of memory and runtime.
Approximating a single cell data set
import scquill
q = Quill(
filename='myscdata.h5ad',
output_filename='myapprox.h5',
celltype_column="cell_annotation",
)
q()
Steps:
- Load dataset if necessary
- Preprocess
- Compress
- Store to output file
- (TODO): Provide an interface to explore approximations.
Authors
Fabio Zanini @fabilab
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
scquill-0.2.1.tar.gz
(11.8 kB
view details)
Built Distribution
scquill-0.2.1-py3-none-any.whl
(14.1 kB
view details)
File details
Details for the file scquill-0.2.1.tar.gz
.
File metadata
- Download URL: scquill-0.2.1.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.11.5 Linux/6.5.5-arch1-1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 05b50d855d43f47956ba117c1825b36ce0adc78f959295c037fa03bcbda41462 |
|
MD5 | 1aa7baa0810c07f8ebdf40edc15d07e4 |
|
BLAKE2b-256 | beb8ee957057ab6bca037a5afab2e0939d94ba4caab94acdb77918f383f1eb4c |
File details
Details for the file scquill-0.2.1-py3-none-any.whl
.
File metadata
- Download URL: scquill-0.2.1-py3-none-any.whl
- Upload date:
- Size: 14.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.11.5 Linux/6.5.5-arch1-1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c677e786c4d761066b8d637bc373b9679ec443d6a611e4cd0f43c32d7b69eafe |
|
MD5 | 261b9947a670b7ce44480d9e0de393a2 |
|
BLAKE2b-256 | af6c9e3e8b8d5a579a1115458efcaeac6d85ee833f2dd4f6140f83dcdabeb2da |