RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions

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RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions

机译：RPINBASE：用于提取预测RNA蛋白质相互作用的特征的在线工具箱

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Feature extraction is one of the most important preprocessing steps in predicting the interactions between RNAs and proteins by applying machine learning approaches. Despite many efforts in this area, still, no suitable structural feature extraction tool has been designed. Therefore, an online toolbox, named RPINBASE which can be applied to different scopes of biological applications, is introduced in this paper. This toolbox employs efficient nested queries that enhance the speed of the requests and produces desired features in the form of positive and negative samples. To show the capabilities of the proposed toolbox, the developed toolbox was investigated in the aptamer design problem, and the obtained results are discussed. RPINBASE is an online toolbox and is accessible at http://rpinbase.com.

机译：特征提取是通过施加机器学习方法预测RNA和蛋白质之间的相互作用的最重要预处理步骤之一。尽管在这一领域很多努力，但仍然没有设计合适的结构特征提取工具。因此，本文介绍了一个名为Rpinbase的在线工具箱，其中可以应用于生物应用范围的不同范围。此工具箱采用有效的嵌套查询，可增强请求的速度，并以正面和阴性样本的形式产生所需的特征。为了显示所提出的工具箱的功能，在适当的设计问题中调查了开发的工具箱，并讨论了所获得的结果。 RPINBASE是一个在线工具箱，可在http://rpinbase.com访问。

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《Genomics》 |2020年第3期|共10页
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正文语种 eng
中图分类医学遗传学;
关键词
Biological applications; Feature extraction; Machine learning; RNA-protein interactions; RPINBASE;

机译：生物应用;特征提取;机器学习;RNA蛋白质相互作用;Rpinbase;

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1. RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions [J] . Genomics . 2020,第3期

机译：RPINBASE：用于提取预测RNA蛋白质相互作用的特征的在线工具箱
2. Feature-Based and String-Based Models for Predicting RNA-Protein Interaction [J] . Donald Adjeroh, Maen Allaga, Jun Tan, Molecules . 2018,第3期

机译：基于特征和基于字符串的模型来预测RNA-蛋白质相互作用
3. Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences [J] . Alhadi Bustamam, Mohamad I. S. Musti, Susilo Hartomo, BMC Genomics . 2019,第S9期

机译：旋转林合成分类器的性能及特征提取器预测蛋白质相互作用的使用氨基酸序列
4. Who will Interact with Whom? A Case-Study in Second Life Using Online Social Network and Location-Based Social Network Features to Predict Interactions between Users [C] . Michael Steurer, Christoph Trattner International workshop on mining ubiquitous and social environments . 2013

机译：谁会与谁互动？使用在线社交网络和基于位置的社交网络功能的第二个生命中的案例研究预测用户之间的交互
5. RNA-protein interaction prediction: String-based versus feature-based models. [D] . Allaga, Maen. 2016

机译：RNA-蛋白质相互作用预测：基于字符串的模型与基于特征的模型。
6. Feature-Based and String-Based Models for Predicting RNA-Protein Interaction [O] . Donald Adjeroh, Maen Allaga, Jun Tan, 2018

机译：基于特征和基于字符串的模型来预测RNA-蛋白质相互作用
7. Feature-Based and String-Based Models for Predicting RNA-Protein Interaction [O] . Donald Adjeroh, Maen Allaga, Jun Tan, 2018

机译：基于特征和基于字符串的模型，用于预测RNA蛋白质相互作用

RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions

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