Foundations-of-Systems-Biology

系统生物学的基础书，研究生物动力学方向的研究人员可以参考，其中包括了几种典型的生物系统；(The book aims at understanding biological systems at system level.)

说明：  神经元细胞HH 模型的仿真。可视化地模拟，结构清晰。(This is a simulation of Hodgkin-Huxley equations using simulink blocks)

蚁群算法解决TSP问题，C++编写，可以改进应用于其他方面。(It is very useful for student who study ant algoritym optimization.)

生命系统建模——血液血环系统的建模，能够对多种心血管疾病情形进行模拟。(Life System Modeling- Modeling blood blood ring system, it is possible to simulate a variety of cardiovascular disease situations.)

可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

通过核来泛化的判别分析（GDA）代码，MATLAB写的。(through nuclear generalization to the discriminant analysis (GDA) code, written in MATLAB.)

说明：  作者使用matlab程序开发了脑电图信号接口程序，并利用小波分解对脑电信号节律提取。(By using the matlab program development of EEG signal interface program, and the use of wavelet decomposition of the EEG rhythm extraction.)

说明：  指纹识别的matlab源码，对研究者非常有用(Fingerprint Recognition Matlab source, the researchers very useful)

卡布列克常数：题目中给出的处理过程很清楚,算法不需要特殊设计,(Cablek constant: the process given in the title is clear, the algorithm does not require a special design,)

基因演算法之多目標最佳化程式，有包含大量範例參考(optimization program based on genetic algorithm)