相关实验视频

Updated: Jul 2, 2025

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
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An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

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优化在RNA-蛋白质结合预测中的作用

Shrooq Alsenan1, Isra Al-Turaiki2, Mashael Aldayel3

  • 1Information Systems Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

Current issues in molecular biology
|February 23, 2024
PubMed
概括

优化算法显著提高了RNA-蛋白结合预测的准确性. 这项研究比较了深度学习模型的网格搜索,随机搜索和贝叶斯优化,提高了RBP相关疾病研究关键数据集的性能.

关键词:
贝叶斯优化器是贝叶斯的优化器.RNA结合蛋白质是RNA结合的蛋白质.人工智能的人工智能是人工智能.生物信息学是一种生物信息学.卷积神经网络 (CNN) 是一种神经网络.深度学习是一种深度学习.网格搜索 网格搜索 网格搜索机器学习是机器学习.优化的优化优化优化.蛋白质是一种蛋白质.随机搜索优化器 随机搜索优化器

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