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Updated: Feb 5, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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用有效的数据学习来准确识别MAPK1抑制剂,使用一个活跃的超深度学习框架.

Darlene Nabila Zetta1, Tarapong Srisongkram2

  • 1Graduate School in the Program of Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen, 40002, Thailand.

Journal of cheminformatics
|February 3, 2026
PubMed
概括

这项研究引入了一种新型的活跃元深度学习框架,以有效地预测抗癌MAPK1抑制剂,即使数据有限. 该方法通过智能选择信息分子用于模型训练来加速药物发现.

关键词:
积极学习是指积极学习.深度学习是一种深度学习.药物发现 药物发现在MAPK1中,MAPK1是MAPK1.

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