Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning
Project description
The author of this package has not provided a project description
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cytosummarynet-0.0.1.tar.gz
(7.8 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 cytosummarynet-0.0.1.tar.gz.
File metadata
- Download URL: cytosummarynet-0.0.1.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b3e5db5210ba94752f2967046c06fd89d9483160549b4be12179decde3ac7a6f
|
|
| MD5 |
68991a068cad466b48b934f3682b982c
|
|
| BLAKE2b-256 |
61ae13ba3bf8265cb3273457a5e3aa81b93d07e7d720f15910c58a2c13d46946
|
File details
Details for the file cytosummarynet-0.0.1-py3-none-any.whl.
File metadata
- Download URL: cytosummarynet-0.0.1-py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c796c973ffe0d3e3ea6b245d2c1297cb61f679d2e88e8e72b5dd53f2bece4220
|
|
| MD5 |
830d4bd2278a7400fe54371c08eda826
|
|
| BLAKE2b-256 |
b66babac6caeb469919b6b0b60e3738d5c68ff10792094b97274918fc637bab8
|