Supervised Learning for Gene Regulatory Network Based on Flexible Neural Tree Model

来源 :国际计算机前沿大会会议论文集 | 被引量 : 0次 | 上传用户:zfhtang
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Gene regulatory network (GRN) inference from gene expression data remains a big challenge in system biology. In this paper, flexible neural tree (FNT) model is proposed as a binary classifier for inference of gene regulatory network. A novel tree-based ev
其他文献
Aiming at the problem that the existing pedestrian recognition technology re-identification effect is not good and the traditional method has low recognition ef
With the upcoming data deluge of semantic data,the fast growth of RDF data has brought significant challenges in query.A new distributed RDF query algorithm RQC
随着油田基建工程行业的快速发展,关于油田房屋结构设计中的建筑结构设计优化,也引起了设计人员及研究人员的重视。分析在实际设计作业中,如何有效的落实油田房屋结构设计作
The estimation of Arterio-Venous ratio (AVR) is an important phase in diagnosing various vascular diseases e.g. Diabetic Retinopathy. For calculating this value
The problem of information comparison is always an important field of SMC.In order to effectively solve the fully equal problem of multi-data for all informatio
本文以石油定向井钻井安全以及作业安全为研究内容,对钻井过程中可能出现的危险因素进行分析,对危害性较大的井喷失控、火灾爆炸进行了研究,同时对定向钻井作业中的安全风险和问
天然气产业是我国国民经济体系中的重要组成部分之一,随着社会经济的发展以及工业化进程的加快,人们对天然气能源的需求量越来越多,因此,天然气产业在我国具有非常大的发展潜
The gated recurrent unit (GRU) deep model is interpreted to predict price’s falling or rising. By using a technique called Tree Regularization of Deep Models f
The tail latency of end-user requests,which directly impacts the user experience and the revenue,is highly related to its corresponding numerous accesses in key