ПЕРЕДБАЧЕННЯ ФОРМИ БІОГЕННИХ МАГНІТНИХ НАНОЧАСТИНОК У МАГНІТОТАКСИСНИХ БАКТЕРІЯХ ЗА ДОПОМОГОЮ ДЕРЕВ РІШЕНЬ ТА ВИПАДКОВИХ ЛІСІВ
Ключові слова:
biogenic magnetic nanoparticles, magnetogenetics, decision tree classifier, random forest classifierАнотація
Predicting biogenic magnetic nanoparticle shape is crucial for magnetogenetics. This study explores machine learning, specifically Decision Trees and Random Forests, for efficient shape classification of magnetosome crystals. Cross-validation demonstrates high accuracy, suggesting machine learning's potential for rapid shape prediction in bio-magnetic applications.
Посилання
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