Muramasa Kyoto
Muramasa Kyoto is a Python package for detecting anomalies in plasmid DNA sequences using K-means clustering and Mahalanobis distance.
Installation
You can install Muramasa Kyoto using pip:pip install muramasa_kyoto
Usage
Here's a basic example of how to use Muramasa Kyoto:
from muramasa_kyoto import feature_extraction, anomaly_detection
# Extract features from your plasmid sequences
feature_extraction.create_feature_file('input.csv', 'features.csv')
# Load the features
import pandas as pd
features = pd.read_csv('features.csv')
# Create and train the anomaly detector
detector = anomaly_detection.AnomalyDetector()
detector.fit(features)
# Predict anomalies
predictions = detector.predict(features)
# Get feature contributions for anomalies
contributions = detector.get_feature_contributions(features[predictions['is_anomaly']])
1 maintainer
Metadata
1 maintainer
Release files for muramasa-kyoto 0.7.0
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| File | Size | Uploaded | Provenance | |
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| muramasa_kyoto-0.7.0.tar.gz | 3.2 MB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| muramasa_kyoto-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.0 MB
Release files / muramasa_kyoto-0.7.0.tar.gz
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| Download URL | muramasa_kyoto-0.7.0-py3-none-any.whl |
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| Size | 3.9 MB |
| Tags | Python 3 |
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