Tookits for Tumor cell identification in single-cell RNA-seq data
Project description
MLBI_at_DKU_Lib
Tookits for Tumor cell identification in single-cell RNA-seq data.
Contact
Send email to syoon@dku.edu for any inquiry on the usages.
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
inferploidy-0.2.2.tar.gz
(2.2 MB
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 inferploidy-0.2.2.tar.gz.
File metadata
- Download URL: inferploidy-0.2.2.tar.gz
- Upload date:
- Size: 2.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.2 CPython/3.9.18 Linux/5.15.0-140-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
353f912cae4d9cf5fd9557d1b37d1d5c011160f7b1ec36779505654f96eea383
|
|
| MD5 |
ee6de98621aa5a77706d42fd3efc6998
|
|
| BLAKE2b-256 |
41758b938e91cb0fcfb859e40235792ce5f4d7aadd0c79515dd72ca2e6f4d96a
|
File details
Details for the file inferploidy-0.2.2-py3-none-any.whl.
File metadata
- Download URL: inferploidy-0.2.2-py3-none-any.whl
- Upload date:
- Size: 2.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.2 CPython/3.9.18 Linux/5.15.0-140-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
79cbf17524edb1937fb1a8c0eca6485d2e7705fba80b3947756eaf0fc19bad83
|
|
| MD5 |
782dd5405477a601d908d5658b05156a
|
|
| BLAKE2b-256 |
033959686334e25608f076b9389289b7324502b5a378044d02ef9249035a53e4
|