DME_DATA

These experiments are used for evaluating algorithms for detecting disease-causing SNPs.The real data is originally genereted by [1] and [2].The simulations and experiments are designed by [3].<br><br>[1] Yang C-H, Lin Y-D, Chuang L-Y, Chang H-W. Evaluation of breast cancer susceptibility using improved genetic algorithms to generate genotype SNP barcodes. IEEE/ACM transactions on computational biology and bioinformatics. 2013;10(2):361-71.[2] Li X, Jiang W. Method for generating multiple risky barcodes of complex diseases using ant colony algorithm. Theoretical Biology and Medical Modelling. 2017;14(1):1-12[3] Tuo S, Liu H, Chen H. Multipopulation harmony search algorithm for the detection of high-order SNP interactions. Bioinformatics. 2020;36(16):4389-98<br><br>

本实验集用于评估致病单核苷酸多态性（Single Nucleotide Polymorphism，简称SNP）的检测算法。原始真实数据集由文献[1]与文献[2]构建生成，本次实验的仿真设计与实验框架由文献[3]提出。

[1] 杨承宏（Yang C-H）、林育德（Lin Y-D）、庄立言（Chuang L-Y）、张宏文（Chang H-W）. 基于改进遗传算法生成基因型SNP条形码以评估乳腺癌易感性[J]. IEEE/ACM计算生物学与生物信息学汇刊, 2013, 10(2): 361-371.
[2] 李鑫（Li X）、姜伟（Jiang W）. 基于蚁群算法生成复杂疾病多风险条形码的方法[J]. 理论生物学与医学建模, 2017, 14(1): 1-12.
[3] 拓帅（Tuo S）、刘浩（Liu H）、陈华（Chen H）. 用于检测高阶SNP交互作用的多种群和声搜索算法[J]. 生物信息学, 2020, 36(16): 4389-4398.