搜索资源列表
biological-algorithms
- 生物信息算法的必看书籍 对学算法的有很深的的影响-Bioinformatics algorithms must-see books have a deep impact on the learning algorithm
globalSeq
- 基于动态规划的全局序列比对程序，采用R语言编写，在生物信息领域应用非常广泛-Dynamic programming based on global sequence alignment program, using the R language, in a very wide field of application of bioinformatics
AlgoritmoGeneticoDois
- In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely u
An-Introduction-to-SVM
- 支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtai
hw
- 序列比对程序很全面的，能帮助大家解决生物信息学中序列比对的问题。-Sequence alignment programs are comprehensive and can help you solve bioinformatics sequence alignment problem.
Markov.m
- 物理马尔可夫链通常用来建模排队理论和统计学中的建模，还可作为信号模型用于熵编码技术，如算术编码（著名的LZMA数据压缩算法就使用了马尔可夫链与类似于算术编码的区间编码）。马尔可夫链也有众多的生物学应用，特别是人口过程，可以帮助模拟生物人口过程的建模。隐蔽马尔可夫模型还被用于生物信息学，用以编码区域或基因预测-Physical Markov chains are typically used to model queuing theory
cog_db_clean
- 生物信息学COG分析 生物信息学COG分析 生物信息学COG分析 生物信息学COG分析 生物信息学COG分析-Bioinformatics Analysis Bioinformatics COG COG bioinformatic analysis COG COG analysis Bioinformatics Analysis Bioinformatics Analysis Bioinformatics COG COG COG ana
adaptive
- 1. Introduction 2. Quick Start Virtual Machine 3. Standalone System Requirements 4. Installation, Setup, and Testing a. System Software Pre-requisites b. MAP-RSeq Install c. Post-Install Configuration d.
accord-hmm-source
- Hidden Markov Models in C#-Introduction Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of
Test
- 生物信息,FASTA文件的读取，数组循环，perl语言-bioinformatics for reading FASTA file
COMPUTERS-IN-BIOLOGY-AND-MEDICINE
- COMPUTERS IN BIOLOGY AND MEDICINE-Computers in Biology and Medicine is a medium of international communication of the revolutionary advances being made in the application of the computer to the fields of bioscience and
rHAT-master
- rHAT: fast alignment of noisy long reads with regional hashing。 这是此篇论文的C++ 实现的算法源代码。——关于生物信息学中long read匹配领域的一个基于哈希的解决算法。运行在linux上，自带参数实现并行处理。 -rHAT: fast alignment of noisy long reads with regional hashing. This is the
SVM-RFE-CBR-v1.3
- 在生物信息学中，SVM-RFE是一个强大的特征选择算法。这是一个不错的选择以避免过度拟合特性高的数量。-SVM-RFE is a powerful feature selection algorithm in bioinformatics. It is a good choice to avoid overfitting when the number of features is high.
biopython中文指南_生物信息学_超强烈推荐
- biopython中文指南_生物信息学_超强烈推荐,对于学习生物信息学，处理大数据非常的有用(For learing Bioinformatics.Biopython is much important.)
IM
- 关于生物大数据以及生物信息学，通过区间作图原理进行进行基因定位，找出影响表型的关键基因。(With regard to biological data and bioinformatics, gene mapping is done by means of interval mapping to identify the key genes that affect the phenotype.)
刘星算法
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（S
2The Elements of Statistical Learning
- This book describes the important ideas in these areas in a common conceptual fr a mework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal u
hmm-master
- a zip file for hmm training in bioinformatics, its a c programming code.
kmean 聚类算法
- 机器学习中所运用的kmean聚类算法，聚类算法可运用于生物信息学等多个跨学科领域中(Kmean clustering algorithm used in machine learning. Clustering algorithm can be applied to many interdisciplinary fields such as bioinformatics.)
bioalign.m
- 生物信息学中的NW align ， 用于蛋白质序列的比对(NW align in bioinformatics)