secondary structure prediction

Protein Secondary Structure Prediction Based on Association Rules and Genetic Algorithm

基于关联规则与遗传算法的蛋白质二级结构预测

A novel protein secondary structure prediction system based on Compound Pyramid Model

基于复合金字塔模型的蛋白质二级结构预测系统

A Method for Protein Secondary Structure Prediction Based on Alternative Covering Algorithm

基于交叉覆盖算法的蛋白质二级结构预测方法

Design and Implementation of an Algorithm for the RNA Secondary Structure Prediction

RNA二级结构预测算法的设计与实现

Centroid : RNA secondary structure prediction approach based on class information

质心法：受类别驱动的RNA二级结构预测方法

Analysis and Comparison on RNA Secondary Structure Prediction Algorithm

RNA二级结构预测算法分析与比较

The protein secondary structure prediction is an important research area in bioinformatics .

在生物信息学研究中，蛋白质二级结构预测是重要的研究内容之一。

RNA Secondary Structure Prediction Using Role Inverse Algorithm Based Syntactic Parser

使用角色反演句法分析器RNA二级结构的预测

Encoding of protein secondary structure prediction in neural network

神经网络预测蛋白质二级结构的编码技术

Using the chemical shift information , we proposed a new protein secondary structure prediction algorithm .

利用这些化学位移信息，我们提出一种新的蛋白质二级结构预测算法。

Study of protein secondary structure prediction methods based on GEP-BP network ensemble

基于GEP-BP网络集成的蛋白质二级结构预测方法研究

Protein Secondary Structure Prediction Using Multi-Modal Neural Network

用多模神经网络预测蛋白质二级结构

The traditional protein secondary structure prediction methods are usually based on homology sequence comparison .

以往的蛋白质结构预测算法大多是基于序列以及数据库比较的。我们结合化学位移信息和蛋白质序列来对蛋白质的二级结构进行预测。

Protein Secondary Structure Prediction by Neural Networks

人工神经网络预测蛋白质结构的探讨

The methods of RNA secondary structure prediction

RNA二级结构预测方法

Research on Encode Influencing Protein Secondary Structure Prediction

编码方式对蛋白质二级结构预测精度的影响

Research of HMM and I / O HMM used in protein secondary structure prediction

蛋白质二级结构预测中的HMM及I/OHMM方法研究

Using the BP nerve network , this paper established the evaluation model of protein secondary structure prediction .

利用BP神经网络，建立了蛋白质二级结构预测的评测模型。

A Helix-based Minimum Free Energy Algorithm for RNA Secondary Structure Prediction

基于茎区的自由能算法预测RNA二级结构

Discrete particle swarm optimization for RNA secondary structure prediction

预测RNA二级结构离散粒子群优化算法

Protein secondary structure prediction is a fundamental and important component in the study of protein structure and functions .

蛋白质二级结构是研究蛋白质结构和功能的基础和重要组成部分。

To improve the secondary structure prediction precision , this paper develop two NN ensemble models .

本文对蛋白质二级结构特性进行了研究，为了提高蛋白质二级结构的预测精度，建立了两个神经网络集成模型。

Simple Encoding of Secondary Structure Prediction

蛋白质二级结构中的简化编码技术

Protein secondary structure prediction based on GP-MaxEnt model

GP-MaxEnt模型的蛋白质二级结构预测

Protein secondary structure prediction based PM genetic Meira network

遗传神经网络及其在蛋白质二级结构预测中的应用

And protein secondary structure prediction has long been a fundamental problem of it and plays an important role .

其中，蛋白质二级结构预测一直是生物信息学中的一个基本问题。

Novel algorithm on RNA secondary structure prediction including pseudoknot based on combination of stems

包括假结的RNA二级结构茎区组合预测新算法

Sequence Alignment , Secondary Structure Prediction and Hydrophobicity Analysis of Soybean Hull Peroxidase

豆壳过氧化物酶的序列联配、二级结构预测及疏水性分析

Secondary structure prediction is the first step and precondition of supersecondary structure prediction .

作为超二结构预测的基础和前提，二级结构预测是不可缺少的环节。

Protein secondary structure prediction becomes the most important step of predicting the space conformation from protein molecule .

蛋白质二级结构预测是蛋白质结构预测的重要组成部分，是蛋白质结构预测最关键的步骤。