基于灰值区间的微阵列模拟数据生成算法

Journal of Jilin University Science Edition

Previous Articles Next Articles

An Algorithm for Generation of Simulated MicroarrayData Based on Grey Value Interval

XIA Xuefei^1,2, HAN Xiao³, LAN Tianshu¹, WANG Lihua⁴, WU Jianan⁵, ZHOU You¹

1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;2. College of Electronic Information, Jilin Communications Polytechnic College, Changchun 130012, China；3. Editorial Department of Journal of Jilin University, Changchun 130012, China;4. Faculty of Information Science and Arts, Osaka ElectroCommunication University, Osaka 5750063, Japan;5. College of Computer Science and Technology, Changchun University, Changchun 130022, China

Received:2016-07-26 Online:2016-11-26 Published:2016-11-29
Contact: ZHOU You E-mail:zyou@jlu.edu.cn

Abstract

Abstract: Aiming at the problem of large data acquisition and high cost of microarray chip, we proposed a new algorithm for generation of simulated microarray data based on grey value interval. The algorithm simulated differential expression of genes in microarray data by means of grey value measurement, combined with cluster analysis method to create a cluster tunnel, and then generated simulation data with similar mathematical distribution and biological significance of the original data. The algorithm was verified and analyzed by simulated data and real biological data. Experimental results show that the simulation data generated by the concept of grey value interval and the generation mechanism of cluster tunnel is effective and reliable.

Key words: simulated data, cluster analysis, differentially expressed genes, microarray data, sample

CLC Number:

TP393

XIA Xuefei, HAN Xiao, LAN Tianshu, WANG Lihua, WU Jianan, ZHOU You. An Algorithm for Generation of Simulated MicroarrayData Based on Grey Value Interval[J].Journal of Jilin University Science Edition, 2016, 54(06): 1401-1404.

[1]	CHEN Guangqiu, WEI Zhou, DUAN Jin, HUANG Dandan. Infrared Polarization Image Fusion Method Based on Composite Domain Multi-scale Decomposition [J]. Journal of Jilin University Science Edition, 2025, 63(2): 479-0491.
[2]	YU Yue, HU Changcheng. Analysis of Coffee Bean Components Based on Fourier Transform Infrared Spectroscopy [J]. Journal of Jilin University Science Edition, 2024, 62(4): 980-984.
[3]	CHENG Libo, DONG Lun, LI Zhe, JIA Xiaoning. Remote Sensing Image Deblurring Method Based on NSST and Sparse Prior [J]. Journal of Jilin University Science Edition, 2024, 62(1): 106-0115.
[4]	ZHOU Fengfeng, ZHANG Jinkai. Graph Attention Network with Local and Global Attention Mechanism to Learn Single-Sample Omic Data Representation [J]. Journal of Jilin University Science Edition, 2023, 61(6): 1351-1357.
[5]	QU Fuheng, SONG Jianfei, YANG Yong, HU Yating, PAN Yuetao. I-k-means-+ Clustering Algorithm Based on min-max Criterion and Region Division [J]. Journal of Jilin University Science Edition, 2023, 61(5): 1131-1138.
[6]	HUO Guang, LIN Dawei, LIU Yuanning, ZHU Xiaodong, YUAN Meng. Small-Sample Iris Image Segmentation Based on Lightweight Convolutional Neural Networks [J]. Journal of Jilin University Science Edition, 2023, 61(3): 583-591.
[7]	LIU Xinlan, YE Ziyu, LU Yan, HOU Yiling, ZHOU Liqian, PU Dihong, DING Xiang. Molecular Mechanism of Eeffect of sgf73 Gene Deletion on Growth and Metabolism of Schizosaccharomyces pombe by Transcriptome Analysis [J]. Journal of Jilin University Science Edition, 2023, 61(2): 426-436.
[8]	LI Changming, ZHANG Hongchen, WANG Chao, LI Xiaoguang, LU Yang, QIAN Chaoyue. An Efficient Yinyang k-Means Clustering Algorithm [J]. Journal of Jilin University Science Edition, 2021, 59(6): 1455-1460.
[9]	FENG Fucun, CHANG Lihong. Fusion Method Based on Content Enhancement for Visible-Infrared Image [J]. Journal of Jilin University Science Edition, 2021, 59(3): 595-601.
[10]	ZHANG Zhihong, LIU Chuanling. Grey Wolf Algorithm to Optimize Network Traffic Prediction of Deep Learning Network [J]. Journal of Jilin University Science Edition, 2021, 59(3): 619-626.
[11]	LI Hong, WANG Peng, BI Bo, TANG Jinping. Oilfield Remote Sensing Image Matching Based on Improved PSO-SIFT Algorithm [J]. Journal of Jilin University Science Edition, 2021, 59(2): 342-350.
[12]	ZHU Hongwei. Medical Image Fusion Method Based on NSST and Improved Sparse Representation [J]. Journal of Jilin University Science Edition, 2020, 58(4): 931-936.
[13]	QI Xiangming, SUN Xujiao. Chinese Text Clustering Algorithm Based on Semantic Cluster [J]. Journal of Jilin University Science Edition, 2019, 57(5): 1193-1199.
[14]	ZHAO Jiayu, LU Dongmei. Consistency of Nearest Neighbor Estimator of Density Function for NSD Samples#br# [J]. Journal of Jilin University Science Edition, 2019, 57(2): 317-323.
[15]	HE Bing, BO Xiaoling. Test of Equality of TwoSample HighDimensional Covariance Matrices Based on Random F-Matrix#br# [J]. Journal of Jilin University Science Edition, 2019, 57(1): 65-71.

An Algorithm for Generation of Simulated MicroarrayData Based on Grey Value Interval

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10