期刊名称：International Journal of Information Technology Convergence and Services (IJITCS)
印刷版ISSN：2231-1939
电子版ISSN：2231-153X
出版年度：2017
卷号：7
期号：2/3
页码：13
DOI：10.5121/ijitcs.2017.7302
出版社：AIRCC
摘要：Sequencing projects arising from high-throughput technologies including those of sequencing DNAmicroarray allowed measuring simultaneously the expression levels of millions of genes of a biologicalsample as well as to annotate and to identify the role (function) of those genes. Consequently, to bettermanage and organize this significant amount of information, bioinformatics approaches have beendeveloped. These approaches provide a representation and a more 'relevant' integration of data in order totest and validate the researchers’ hypothesis. In this context, this article describes and discusses sometechniques used for the functional analysis of gene expression data.
