Awesome pepboost created by pgarrett-scripps
Project description
pepboost
Awesome pepboost created by pgarrett-scripps
Install it from PyPI
pip install pepboost
Results
The results are not great when compared to deep learning approaches, but they are several times faster. There is a lot of room for improvement. No alignment is performed, and the models are not optimized.
Training RT model...
Found 0 inf sequences.
Found 0 nan sequences.
R^2: 0.9139231539453871
Retention Time: Predicted vs Experimental
┌────────────────────────────────────────────────────────────┐
│ ▖ ▗ ▄ ▗▄▄▄▄▟▄▄▄▟█▄▙▟▙██▟▄█▟▖▘▝│
│ ▄ ▄▗▘▌▐▛█▐▜████████████████▜▛▌ ▝▗│
│ ▖ ▗ ▟ ▖▛ ▗▜▐███████████████████▛▝▀ │
│ ▝ ▖▌ ▌ ▟▖▝▀▖▟██████████████████▛▛▀▄▖ │
│ ▗ ▘ ▘▖▗▖████████████████████▀▛▘▀▘ ▘ │
│ ▘▝ ▝ ▝ ▄ ▞▜▐▄▐▙███████████████████▀▌ ▌ ▘ │
│ ▖ ▖▖▚▄▗▀▞▘████████████████████▛▌ ▛▀ ▄▘ │
│ ▝▖ ▘▗▘▄ ▖▐▞▀▟▙██████████████████▘█▌ ▀ ▘ │
│ ▝ ▝▖▌▘▚██▙██████████████████▜▟▘ ▖▌ │ 0.5
│ ▗ ▗ ▌▐▟▚▜▜████████████████▀▀▌▚▘▘ ▖ ▖ ▗▝ │
│▘ ▖ ▐▖▗▘▟████████████████▜▘▐▐ ▀▖ ▝ │
│ ▖▝▗▖ ▜█████████████▛▛▀▚▘▛ ▘▝▘▝ ▖ │
│ ▝▖ ▝▐▙███████████▀▜▀▌▘▘▝ ▘ ▘ ▘ │
│ ▗▟██████████▜▀▘▘ ▖ │
│▘▝▝██████▛▀▀▘ ▘ ▝ │
│ ▄██████▘ ▘ ▗ │
│▁▚████▛▞▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▖▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁│ 0.0
└────────────────────────────────────────────────────────────┘
0.2 0.4 0.6 0.8 1.0
Reading Files: 100%|██████████| 29/29 [00:08<00:00, 3.62it/s]
Training IM model...
R^2: 0.965236664924016
Ion Mobility: Predicted vs Experimental
┌────────────────────────────────────────────────────────────┐
│ ▖ ▝▝ ▖▗▝▖ ▖ ▗ ▟▄▗██▟█████▟█▌▝│
│ ▝ ▖ ▗▟ ▟▗█▄▙█▟████████▘▘ ▖ │ 1.4
│ ▗▖▖ ▗ ▄█▗▟█████████▛▛ ▘ ▖ │
│ ▝▖ ▖▖▐█▖▙▟████████████▛▞▀▘ │
│ ▗ ▞▟ █▛▟████████████▀▚▝▘ │
│ ▝ ▄▄▀▙██████████████▚▘▘ │
│ ▐▗▐▛███████████████▝▘ ▗ │ 1.2
│ ▄▄▄▟█████████████▙▚▀ ▝▗ │
│ ▗ ▄▟█████████████▜▀▘▀▗▘▗ │
│ ▖ ▄▟███████████▛▛█▜▙▘▜ ▖▗ ▖ ▀ │
│ ▄▄▟▟██████████▛█▜▝▌▚▗ ▖ │ 1.0
│ ▄███████████▛▛▛ ▝▘▗▘ ▖ ▖ │
│ ▗▄▙███████████▀▜▝▘ ▝ ▖ ▘ ▗ │
│ ▟██████████▛▀▘ ▘ ▝ ▘ │
│ ▗▟█████████▛▀▀▝ │ 0.8
│ ▗▄████████▀▀▘▀ │
│▙▟████▛▀▛▞ │
└────────────────────────────────────────────────────────────┘
0.8 1.0 1.2 1.4
Reading Files: 100%|██████████| 29/29 [00:10<00:00, 2.90it/s]
Found 0 inf sequences.
Found 0 nan sequences.
R^2: 0.8719144805523465
Intensity: Predicted vs Experimental
┌────────────────────────────────────────────────────────────┐
│ ▖▐▝▌▞█▘██▜▜▛█▛▙█▚█▙▟██████████████████████▛│ 1.0
│ ▟▞▟▗▖▐▀█▚▜█▟▌▝▟▙█▜████████████████████████▙│
│ ▗▛ ▝▖▖▟▛▐▙▚▄▛█▄██████████████████████████ │
│ ▗▀ ▖▄▘▙▖▙▟█▛▞██████████████████████████████▖│
│ ▄█ ▖▚▖▙▜▙█▟███████████████████████████████▖│
│ ▖▚██▐▄█▙██████████████████████████████████ │
│ ▝▟█▟▙████████████████████████████████████▌ │
│ ▝ ▝│▟██▛████████████████████████████████████ │
│ ▘▐▛███████████████████████████████████████▖ │ 0.5
│ ▟████████████████████████████████████▙█▌█▀ │
│ ▖███████████████████████████████████▙█████ │
│ ▗▐██████████████████████████████████▀▙██▙▙ │
│ ▐█████████████████████████████████▟███▐█▀▖ │
│ ▜▚▐███████████████████████████████▐██▟▌▜▝█▌▝▘ │
│ ▝▖████████████████████████████████▙█▛▛▘▞▌▀▙▞ │
│ ▘▖▗▐████████████████████████████▛█▌▀▘▜▛▛█▛▙▛ ▝ │
│▖▖▁▁▁▗▐▖▝█▙▙█████████████████████████████▟███▟▚▟▞▛█▄▙▙▄▗▙▗▖▁│ 0.0
└────────────────────────────────────────────────────────────┘
-0.2 0.0 0.2 0.5 0.8
Development
Read the CONTRIBUTING.md file.
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
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 pepboost-0.1.2.tar.gz.
File metadata
- Download URL: pepboost-0.1.2.tar.gz
- Upload date:
- Size: 373.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
88633fd17988edd645cd1bcb7ffee1e9a61940fa471173df9f0cd7af9c515f75
|
|
| MD5 |
9ced049db3e739fb857084ef29e48dde
|
|
| BLAKE2b-256 |
7388ece7b852623096221d139d2956dd8fd82bae36f0765352ed967f382dae38
|
File details
Details for the file pepboost-0.1.2-py3-none-any.whl.
File metadata
- Download URL: pepboost-0.1.2-py3-none-any.whl
- Upload date:
- Size: 11.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
814b980273a59de5be68d8aacc566f89de2402aaa5752cbb10815b3f15aa7abd
|
|
| MD5 |
a2d7b92d9611848bb2e8c03cbd1d8868
|
|
| BLAKE2b-256 |
eba9c6c85364a814d2476f5928ace8c1b338a8540726cd1257395020835d9fd3
|