Recent methods have shown the significance of secondary structure in understanding RNA-Protein interactions.;In this thesis, we explore prediction models for RNA-Protein interaction using two different schemes. The first applied string algorithms to extract the most effective string patterns from both ...
The remainder of this article is structured as follows: First, we give a brief overview over machine learning methods for protein-RNA interaction prediction with a focus on input modalities and deep learning model architectures. Next, we cover benchmarking datasets and their preprocessing, before int...
数据库网址:http://s.tartaglialab.com/page/catrapid_group,文章出处:catRAPID omics v2.0: going deeper and wider in the prediction of protein-RNA interactions (Nucleic Acids Res ,IF=14.9) catRAPID数据库由来自意大利的 Gian Gaetano Tartaglia开发,catRAPID是一种用于预测蛋白质-RNA之间结合倾向的算法。它基...
proteininteractionsarebeginningtoprovidevaluableinformationaboutthecomplexityofRNA-proteininteractionnetworks,butareexpensiveandtimeconsuming.Hence,thereisaneedforreliablecomputationalmethodsforpredictingRNA-proteininteractions.Results:WeproposeRPISeq,afamilyofclassifiersforpredictingRNA-proteininteractionsusingonly...
lncRNA-protein-interaction-prediction摘星**星梦 上传284.38 KB 文件格式 zip 该项目是关于 lncRNA-protein 交互预测的研究,旨在提出一种线性标签传播方法(LPLNP 方法)来预测未知的 lncRNA-protein 交互。该代码库包含我们的数据集以及单个 LPLNP、集成 LPLNP 模型和其他最新方法的代码。请遵循 Guideline.pdf 中的...
Protein-protein interactions We obtain the protein-protein interaction (PPI) data from STRING database V10.045, which contains weighted protein interactions derived from computational prediction methods, high-throughput experiments, and text mining. The confidence scores are computed by combining the probabi...
Protein-RNA interaction是基因表达不可或缺的调节因子。研究小组通过改进的粘连技术结合高通路的技术创建了一种基因组范围的研究平台,可在活细胞中研究蛋白质与RNA的作用模式。通免疫沉淀技术(immunoprecipitation, HITA-CLIP)研究者还能找出蛋白质与RNA的结合位点。
RPISeq – RNA-Protein Interaction PredictionRPISeq:: DESCRIPTIONRPISeq is a family of classifiers for predicting RNA-protein interactions using only sequence information. Advertisement::DEVELOPERRPISeq team:: SCREENSHOTSN/A:: REQUIREMENTSWeb Browser
To mine the hidden sequential interaction of protein and RNA sequences, Pan et al. applied an stacked autoencoder to develop the model, IPMiner (Pan et al., 2016). Liu et al. introduced neighborhood regularized logistic matrix factorization to construct the LPI prediction model. In this model...
Protein-RNA interactions are vitally important to a number of fundamental cellular processes, including regulation of gene expression such as RNA splicing, transport and translation, protein synthesis and assembly of ribosome. More detailed information on the Protein-RNA interaction is helpful for comprehe...