位置：成果数据库 > 期刊 > 期刊详情页
Reverse Engineering of Gene Regulatory Networks using Flexible Neural Trees
  • ISSN号：0925-2312
  • 期刊名称：Neurocomputing
  • 时间：2012.7.7
  • 页码：458-466
  • 相关项目：基于比较基因组学和计算智能的禾本科牧草功能基因的发掘和表达调控研究
作者： Bin Yang|Yuehui Chen|Mingyan Jiang|
同期刊论文项目
基于比较基因组学和计算智能的禾本科牧草功能基因的发掘和表达调控研究
期刊论文 31 会议论文 21
同项目期刊论文
A novel method for prediction of protein interaction sites based on integrated RBF neural networks
基于组合特征集成的蛋白质相互作用位点预测
基于前馈人工神经网络的miRNA预测
How Many Packets Are Most Effective for Early Stage Traffic Identification: An Experimental Study
CUDA计算架构在水泥水化过程建模中的应用
Traffic Labeller: Collecting Internet Traffic Samples with Accurate Application Information
Protein tertiary structural prediction based on a novel flexible neural tree
A parallel evolving algorithm for flexible neural tree
Time-series forecasting using a system of ordinary differential equations
赖草根茎分蘖相关基因LRC1的克隆及表达
基于集成学习的神经网络对小RNA的预测
Nonlinear prediction of small scale network traffic based on local relevance vector machine regressi
Accelerating FCM neural network classifier using graphics prosessing units with CUDA
Optimal vibration control for vehicle suspension discrete-time systems with actuator time delay
A thought on the golas and realization of pervasive healthcare
Automatic Detection of Epileptic EEG Based on Recurrence Quantification Analysis and SVM
Predict the Tertiary Structure of Protein with Error-Correcting Output Coding and Flexible Neural Tr
Features extraction from hand images based on new detection operators
Improvement of neural network classifier using floating centroids
A Novel Hybrid Framework for Reconstructing Gene Regulatory Networks
Towards Unique and Anchor-Free Localization foe Wireless Sensor Networks
Small-time scale network traffic prediction based on flexible neural tree
Modeling early-age hydration kinetics of Portland cement using flexible neural tree
基于递归量化分析与支持向量机的癫痫脑电自动检测方法
沙棘ω-6脂肪酸去饱和酶基因的分子进化
核型分析技术在沙棘品种进化研究中的应用
基于局域相关向量机回归模型的小尺度网络流量的非线性预测
蛋白质亚细胞定位预测研究综述
基于Lempel-Ziv复杂度和经验模态分解的癫痫脑电信号的检测方法
Internet流量识别基础数据采集技术的研究