ID 原文 译文
1313 研究表明，micRNAs(miRNA)突变或者异常会导致多种疾病，鉴定出与疾病相关的 microRNA 可以帮助诊断和治疗相关疾病。 Studies show that mutations or abnormalities in micRNAs can lead to many diseases, and the identification of disease-associated microRNAs (miRNAs)can help diagnose and treat related diseases.
1314 然而，通过生物实验方式获取准确关联关系，花费大，而且周期长。 However, it is costly and long-term to obtain accurate correlations through biological experiments.
1315 因此，本文中提出了一种基于网络内部拓扑信息的机器学习方法(HNDLM)预测疾病-miRNA 关联关系。 Therefore, this paper proposes a machine learning method(HNDLM)that uses network topology information to predict disease-miRNA associations.
1316 HNDLM 避免搭建相似网络，而是将近年提出的 network embedding 方法应用在生物网络上。 HNDLM avoids the construction of similarity networks, but applies the network embedding method proposed in recent years to biological networks.
1317 实验结果显示，HNDLM 相较于 MIDPE，MIDP，WBSMDA，RLSMDA，CPTL，HDMP 经典算法在准确率和 AUC 值上效果更好。 Experi-mental results show that HNDLM performs better than MIDPE, MIDP, WBSMDA, RLSMDA, CPTL, HDMP classical algo-rithms in accuracy and AUC value.
1318 此外，在案例学习中，HNDLM 推荐的前 30 个候选 miRNAs，基本都能通过先前实验得到证实，HNDLM 能发现潜在疾病-miRNA 关系，有助于进一步研究疾病发病机制，推动生物信息学发展。 In case study, the top 30 candidate miRNAs recommended by HNDLM can be confirmedby previous experiments. HNDLM can discover the potential disease-miRNA relationship and help to further study the patho-genesis of the disease, promote the development of bioinformatics.
1319 能量兼容性会以电磁兼容性表象出现。 Energy compatibility emerges as the surface phenomena of electromagnetic compatibility.
1320 采用局限于电磁能量的理论和技术，可能会陷于技术困境或需要更高成本。 With theories andtechnologies limited to electromagnetic energy, it may lead to technical dilemma or higher costs.
1321 本文用能量兼容性及相关模型阐述电磁兼容性概念。 The concept of EMC is stat-ed through energy compatibility and related models.
1322 以机载雷达为例，初步分析论述能量兼容的电磁兼容性设计应用。 The design of EMC with energy compatibility is preliminarily discussedby taking airborne radar as an example.