标题： ProtScan：RNA-蛋白质相互作用的建模与预测 显示英文标题

标题： ProtScan: Modeling and Prediction of RNA-Protein Interactions

摘要： CLIP-seq方法是用于实验确定RNA结合蛋白转录组范围结合位点的有价值技术。 尽管此类技术不断改进（例如eCLIP），但结果受到各种类型噪声的影响，并依赖于实验条件，如细胞系、组织、基因表达水平、应激条件等，这为RNA-蛋白质相互作用的计算建模提供了途径。 在这里，我们介绍了ProtScan，一种基于共识核化随机梯度下降回归的预测工具。 ProtScan去除了CLIP-seq实验中包含的信息的噪声并进行了泛化。 它优于竞争性的最先进方法，可用于在转录组范围内建模RNA-蛋白质相互作用。 显示英文摘要

摘要： CLIP-seq methods are valuable techniques to experimentally determine transcriptome-wide binding sites of RNA-binding proteins. Despite the constant improvement of such techniques (e.g. eCLIP), the results are affected by various types of noise and depend on experimental conditions such as cell line, tissue, gene expression levels, stress conditions etc., paving the way for the in silico modeling of RNA-protein interactions. Here we present ProtScan, a predictive tool based on consensus kernelized SGD regression. ProtScan denoises and generalizes the information contained in CLIP-seq experiments. It outperforms competitor state-of the-art methods and can be used to model RNA-protein interactions on a transcriptome-wide scale.