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Updated: Jan 15, 2026

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
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Published on: March 12, 2020

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RFBGCpred:一种基于随机森林的工具,用于预测生物合成基因集群

Sharanbasappa D Madival1, Dwijesh Chandra Mishra2, Krishna Kumar Chaturvedi2

  • 1The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India; Divisioin of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India.

Biochimica et biophysica acta. General subjects
|October 10, 2025
PubMed
概括

RFBGCPred是一个新的机器学习工具,可以准确地分类五种关键的生物合成基因集群 (BGC) 类型,包括混合体. 它改进了现有的方法,用于识别药品和农业中重要的天然产品途径.

关键词:
生物合成基因集群生物合成基因集群在深度BGCGC.机器学习 机器学习自然产品是天然产品.随机的森林 随机的森林在SMOTE中使用.这就是UMAP UMAP.在Word2Vec中使用.这是一个反SMASH的方法.

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