Title :
The Design of Differentially Expressed Gene Recognition Software Based on Meta-analysis
Author :
Wu, Jianan ; Zhong, Yi ; Liu, Guixia ; Tian, Yuan ; Wu, Muji ; Zhou, You
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
As the traditional analysis of differentially expressed genes can only handle a single data sets, we designed and developed the differentially expressed genes recognition software based on meta-analysis to analyze differentially expressed gene. The Software integrated Rank Product meta-analysis algorithm and improvement RSDM algorithm with filtering techniques based on standard deviation. The software has realized the data import and the analysis of differentially expressed gene. Experimental results show that: the software can effectively analyze heterogeneous data sets, find differentially expressed genes, and thus verify the effectiveness of the algorithm.
Keywords :
biology computing; data analysis; genetics; software engineering; RSDM algorithm; data import; differentially expressed gene recognition software; filtering techniques; heterogeneous data sets; microarray gene expression data analysis; software integrated rank product meta-analysis algorithm; Algorithm design and analysis; Educational institutions; Gene expression; Radar imaging; Software; Software algorithms; Standards; differentially expressed gene; meta-analysis; rank product; standard deviation;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.368
