SEQmil is a Python package for applying Multi-Instance Learning (MIL) to biological sequences such as RNA, DNA, and proteins. It enables flexible representation of sequences as bags of subsequences, and supports learning tasks where only bag-level labels are available.
Key Features
🧬 MIL support for biological sequences (RNA, DNA, Proteins)
🧩 Instance construction using sliding windows
🛠️ Compatible with scikit-learn, PyTorch, and standard ML tools
📊 Integrated tutorial and example workflow
Installation
pip install seqmilQuick start
See the examples of SEQmil application for different tasks in the tutorial collection .
1 maintainer
Metadata
1 maintainer
Release files for seqmil 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| seqmil-1.0.0.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| seqmil-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.9 kB
Release files / seqmil-1.0.0.tar.gz
| Download URL | seqmil-1.0.0.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.10.19
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Release files / seqmil-1.0.0-py3-none-any.whl
| Download URL | seqmil-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
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