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-0.3.0b0.tar.gz
(64.5 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-0.3.0b0.tar.gz.
File metadata
- Download URL: scparadise-0.3.0b0.tar.gz
- Upload date:
- Size: 64.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
18954297f959cc42127072b74d3819e1c1461e982e761a9863f589f9c7917e9b
|
|
| MD5 |
df33ae36f83883c0221ea973c47ed9e6
|
|
| BLAKE2b-256 |
98910ed64392bbbd30aa48172d6a79a45a32e96b36007e9abd93b1624858793a
|
File details
Details for the file scparadise-0.3.0b0-py3-none-any.whl.
File metadata
- Download URL: scparadise-0.3.0b0-py3-none-any.whl
- Upload date:
- Size: 70.2 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 |
69d460bbb572adc245cc75530e25959ad70efa0c2cac275785b4fd5eb6818c43
|
|
| MD5 |
54b0b23797eb20cb5235795d9953217c
|
|
| BLAKE2b-256 |
b14113670f13bab66d6a45e3c2ff6bd53d9f2ce76d100f9d272a65697c7165d1
|
