The regulatory role of the Micro-RNAs (miRNAs) in the messenger RNAs (mRNAs) gene expression is well understood by the biologists since some decades, even though the delving into specific aspects is in progress. Clust...The regulatory role of the Micro-RNAs (miRNAs) in the messenger RNAs (mRNAs) gene expression is well understood by the biologists since some decades, even though the delving into specific aspects is in progress. Clustering is a cornerstone in bioinformatics research, offering a potent computational tool for analyzing diverse types of data encountered in genomics and related fields. MiRNA clustering plays a pivotal role in deciphering the intricate regulatory roles of miRNAs in biological systems. It uncovers novel biomarkers for disease diagnosis and prognosis and advances our understanding of gene regulatory networks and pathways implicated in health and disease, as well as drug discovery. Namely, we have implemented clustering procedure to find interrelations among miRNAs within clusters, and their relations to diseases. Deep clustering (DC) algorithms signify a departure from traditional clustering methods towards more sophisticated techniques, that can uncover intricate patterns and relationships within gene expression data. Deep learning (DL) models have shown remarkable success in various domains, and their application in genomics, especially for tasks like clustering, holding immense promise. The deep convolutional clustering procedure used is different from other traditional methods, demonstrating unbiased clustering results. In the paper, we implement the procedure on a Multiple Myeloma miRNA dataset publicly available on GEO platform, as a template of a cancer instance analysis, and hazard some biological issues.展开更多
土壤侵蚀是导致水土流失、土地退化和生态系统脆弱等问题的重要因素,径流小区尺度的土壤侵蚀研究有助于深入理解侵蚀机制并制定防治策略。使用CiteSpace软件对1992—2023年间Web of Science数据库收录的径流小区土壤侵蚀研究文献进行了...土壤侵蚀是导致水土流失、土地退化和生态系统脆弱等问题的重要因素,径流小区尺度的土壤侵蚀研究有助于深入理解侵蚀机制并制定防治策略。使用CiteSpace软件对1992—2023年间Web of Science数据库收录的径流小区土壤侵蚀研究文献进行了文献计量分析。通过对4313篇文献的系统研究,分析了土壤侵蚀研究的主要研究机构及作者的合作与贡献情况、关键词共现以及研究热点的转移。结果显示:全球范围内该领域的发文量呈增长趋势,出现了“气候变化”“土地利用”和“黄土高原”等热点话题,美国和中国是发文量最大的国家,其中美国与欧洲国家和机构合作程度较高;研究热点从传统的侵蚀机理和监测预防转向气候变化、土地利用与遥感技术的综合应用;关键词共现与时区分析揭示了生态系统服务和可持续土地管理策略的重要性日益增加。未来关于跨尺度研究和技术应用,特别是在生态系统服务领域和遥感技术与GIS的应用方面将是研究的重点,同时也需要关注土壤侵蚀测量方法的准确性和实用性,以及全球合作在解决土壤侵蚀问题中的重要性。展开更多
文摘The regulatory role of the Micro-RNAs (miRNAs) in the messenger RNAs (mRNAs) gene expression is well understood by the biologists since some decades, even though the delving into specific aspects is in progress. Clustering is a cornerstone in bioinformatics research, offering a potent computational tool for analyzing diverse types of data encountered in genomics and related fields. MiRNA clustering plays a pivotal role in deciphering the intricate regulatory roles of miRNAs in biological systems. It uncovers novel biomarkers for disease diagnosis and prognosis and advances our understanding of gene regulatory networks and pathways implicated in health and disease, as well as drug discovery. Namely, we have implemented clustering procedure to find interrelations among miRNAs within clusters, and their relations to diseases. Deep clustering (DC) algorithms signify a departure from traditional clustering methods towards more sophisticated techniques, that can uncover intricate patterns and relationships within gene expression data. Deep learning (DL) models have shown remarkable success in various domains, and their application in genomics, especially for tasks like clustering, holding immense promise. The deep convolutional clustering procedure used is different from other traditional methods, demonstrating unbiased clustering results. In the paper, we implement the procedure on a Multiple Myeloma miRNA dataset publicly available on GEO platform, as a template of a cancer instance analysis, and hazard some biological issues.
文摘土壤侵蚀是导致水土流失、土地退化和生态系统脆弱等问题的重要因素,径流小区尺度的土壤侵蚀研究有助于深入理解侵蚀机制并制定防治策略。使用CiteSpace软件对1992—2023年间Web of Science数据库收录的径流小区土壤侵蚀研究文献进行了文献计量分析。通过对4313篇文献的系统研究,分析了土壤侵蚀研究的主要研究机构及作者的合作与贡献情况、关键词共现以及研究热点的转移。结果显示:全球范围内该领域的发文量呈增长趋势,出现了“气候变化”“土地利用”和“黄土高原”等热点话题,美国和中国是发文量最大的国家,其中美国与欧洲国家和机构合作程度较高;研究热点从传统的侵蚀机理和监测预防转向气候变化、土地利用与遥感技术的综合应用;关键词共现与时区分析揭示了生态系统服务和可持续土地管理策略的重要性日益增加。未来关于跨尺度研究和技术应用,特别是在生态系统服务领域和遥感技术与GIS的应用方面将是研究的重点,同时也需要关注土壤侵蚀测量方法的准确性和实用性,以及全球合作在解决土壤侵蚀问题中的重要性。
