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-0.2.4.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-0.2.4.tar.gz.
File metadata
- Download URL: inferploidy-0.2.4.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 |
f4fb95a6549c659ea954f2f918da349bf7b5b7da0dfe5a4c16cbf8cdb4c25f94
|
|
| MD5 |
17c480c6544924a26c31c56d835a9c80
|
|
| BLAKE2b-256 |
1ceb03c5728b9f7fe1ea9751db2ab4a93452a8ac6560a3c748ad47b880f2bd2b
|
File details
Details for the file inferploidy-0.2.4-py3-none-any.whl.
File metadata
- Download URL: inferploidy-0.2.4-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 |
1070914aeb702fc0c0a8039507d398ff27a189e6e48b8ed168b7e36d58fba6b9
|
|
| MD5 |
b2cec6c2510f5071a17ec950e098ba88
|
|
| BLAKE2b-256 |
95025199aea87a9639d02c775c8657fe72421111527c690decc43b12f3553e7b
|