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20 de jul. de 2016 · Here, we present a model to predict miRNA-mRNA interactions solely based on their sequences, ... When we compared the performance on the same HeLa data set, the common chimiRic model outperformed all three methods measured by auPR (Fig 3E, p < 7.90e-4, p < 1.91e-5 and p < 1.68e-3, ...
3 de ago. de 2023 · More and more evidence suggests that circRNA plays a vital role in generating and treating diseases by interacting with miRNA. Therefore, accurate prediction of potential circRNA–miRNA interaction (CMI) has become urgent. However, traditional wet experiments are time-consuming and costly, and the results will be affected by objective factors. In this paper, we propose a computational model ...
21 de ago. de 2017 · (c) Number of CAGE tags as a function of their starting position relative to the 3′ end of the pre-miRNA, averaged across human pre-miRNAs in the robust set (n = 795). The 3′ end of the pre ...
24 de mar. de 2017 · Author summary Identification of miRNA-disease associations is considered as a key way for the development of pathology, diagnose and therapy. Computational prediction models contribute to discovering the underlying disease-related miRNAs on a large scale. Based on the assumption that functionally related miRNAs tend to be involved in phenotypically similar disease and vice versa, the model of ...
25 de jul. de 2022 · A miRNA Target Prediction Model Based on Distributed Representation Learning and Deep Learning. Yuzhuo Sun, 1 Fei Xiong, 1 ... in NLP, so vector_size = 2, 4, 10, 20, 30, 50, and 100 different output dimensions are set to facilitate the comparison and selection of the optimal parameters in subsequent experiments. The Gensim package ...
10 de ene. de 2022 · For the performance comparison of the prediction model in a Singaporean Chinese cohort, our present model was able to achieve a better classification (AUC of 0.973) than the two-miRNA combinations ...
18 de dic. de 2013 · The overall set of 100 miRNA modules is supported by 95 experimentally validated miRNA–mRNA target pairs, as compared with only 5 as expected by chance. After standardization for total coverage of miRNA–mRNA target pairs, the density of experimentally validated miRNA–mRNA target pairs is still 14.3-fold more than expected by chance.
