BPNet: toolkit to learn motif synthax from high-resolution functional genomics data using convolutional neural networks
Project description
The author of this package has not provided a project description
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
bpnet-2.0.0.tar.gz
(84.0 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
bpnet-2.0.0-py3-none-any.whl
(92.9 kB
view details)
File details
Details for the file bpnet-2.0.0.tar.gz.
File metadata
- Download URL: bpnet-2.0.0.tar.gz
- Upload date:
- Size: 84.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ea39cfb0e5ac9d22cc25a7db3461119765cac3fe23eff09eaa352e506ea5e86d
|
|
| MD5 |
3be5a268a924d4a39d4010ccba37a2cb
|
|
| BLAKE2b-256 |
fcd1879734061a182666ce2a16e1257ac5c2f10c16a42004f8e9e238825caf48
|
File details
Details for the file bpnet-2.0.0-py3-none-any.whl.
File metadata
- Download URL: bpnet-2.0.0-py3-none-any.whl
- Upload date:
- Size: 92.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dccff1bfe7c1d726967e95e270b712a9eacd580756d80f6c19ae55ea1be43633
|
|
| MD5 |
0c02db210002f81d528e86ed9b977a37
|
|
| BLAKE2b-256 |
23504829059e3a47964ce969eabdac44ee0d2367b4381cf41cbf7782a2938e6d
|