FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases
FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases
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FMSM：一种新的计算模型，用于预测各种人类疾病的潜在 miRNA 生物标志物
DOI：
10.1186/s12918-018-0664-9
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发表时间：
2018
影响因子：
--
通讯作者：
Huang Yu-An
中科院分区：
文献类型：
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作者：
Sun Yiwen;Zhu Zexuan;You Zhu-Hong;Zeng Zijie;Huang Zhi-An;Huang Yu-An
研究背景MicroRNA（miRNA）在人类生物学过程的调控机制中起着关键作用，包括疾病的发生和发展。因此，有必要对各种人类疾病的潜在miRNA生物标志物进行鉴定。计算预测模型，预计将加速identifiation.ResultsConsidering以前提出的模型的局限性，我们提出了一种新的计算模型，称为FMSM的过程。它基于已知的miRNA-疾病关联网络、miRNA表达相似性、疾病语义相似性和高斯相互作用轮廓核相似性来推断参与各种疾病机制的潜在miRNA生物标志物。FMSM在5倍和留一交叉验证中实现了可靠的预测性能，ROC曲线下面积（AUC）值分别为0.9629+/-0.0127和0.9433，优于最先进的竞争对手和经典算法。此外，前25个预测的miRNA中有19个已被验证与结肠Neoplasm in case study.ConclusionsA因子的miRNA相似性为基础的模型和miRNA表达相似性大大有助于良好的预测。公布了预测的各种人类疾病的最潜在的miRNA生物标志物的列表。预计FMSM可以作为一个有用的工具，指导未来的实验验证那些有前途的miRNA生物标志物候选人。
BackgroundMicroRNA (miRNA) plays a key role in regulation mechanism of human biological processes, including the development of disease and disorder. It is necessary to identify potential miRNA biomarkers for various human diseases. Computational prediction model is expected to accelerate the process of identification.ResultsConsidering the limitations of previously proposed models, we present a novel computational model called FMSM. It infers latent miRNA biomarkers involved in the mechanism of various diseases based on the known miRNA-disease association network, miRNA expression similarity, disease semantic similarity and Gaussian interaction profile kernel similarity. FMSM achieves reliable prediction performance in 5-fold and leave-one-out cross validations with area under ROC curve (AUC) values of 0.9629+/− 0.0127 and 0.9433, respectively, which outperforms the state-of-the-art competitors and classical algorithms. In addition, 19 of top 25 predicted miRNAs have been validated to have associations with Colonic Neoplasms in case study.ConclusionsA factored miRNA similarity based model and miRNA expression similarity substantially contribute to the well-performing prediction. The list of the predicted most latent miRNA biomarkers of various human diseases is publicized. It is anticipated that FMSM could serve as a useful tool guiding the future experimental validation for those promising miRNA biomarker candidates.