Analysis of genes expression ca be done with the investigation of a particular microarray data for the description of a gen. This is done to identify what genes that were active in the human body, if wearing a particular treatment. This activity is useful to predict the occurence of a disease or reaction to medicaions. This information is a important consideration for medical experts to determine the incidence of disease mechanism, and determine which theraphy is right for the patient. Various studies and research on the microarray data and genes expression has been conducted to identify the genes is. Genes is identiffied with the introduction of patterns (pattern recognition). Introduction of various technical pattern (pattern recognition) analysis on the expression of genes has been performed. Introduction of techniques such as the patterns in data mining techniques. PCA k-means clustering (Partitioning). Bayesian belif networks (BBN), Hierarchical clustering mixture models and EM, Gene shaving, hidden Markov Model. GA/KNN, Boolean network, Novel algorithm. Each has experienced the development of techniques by the researches in the field, to produce a good performance tecniques.