Single-Cell Analysis Annotation and Modality Prediction.
Project description
scParadize
Tunable highly accurate multi-class cell type annotation and surface protein abundance prediction in single cell RNA-seq data.
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
scparadise-0.2.1b0.tar.gz
(55.3 kB
view details)
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 scparadise-0.2.1b0.tar.gz.
File metadata
- Download URL: scparadise-0.2.1b0.tar.gz
- Upload date:
- Size: 55.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
27138c1b3a4d7276fed4f964932f8629ddbe680cee8183a8e2c0903ea0a2c399
|
|
| MD5 |
1bfa298312781365502aebcc6580bf16
|
|
| BLAKE2b-256 |
917ded62be0f9eeea27275c8282555ef29fc9408fbf3794c3e9ee1435c85a272
|
File details
Details for the file scparadise-0.2.1b0-py3-none-any.whl.
File metadata
- Download URL: scparadise-0.2.1b0-py3-none-any.whl
- Upload date:
- Size: 60.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e5bdfd45f76a09ff1baeba882c454bdf8660c0260c71c808e9c424a21a8ac339
|
|
| MD5 |
58de9cb359b2ead59ac9dbc4e30dd6a0
|
|
| BLAKE2b-256 |
26894f65a653a27b973f0a811884ee761ac3c27fe15a27933d60c8e99116ea85
|
