Implementation of The Binary Inclusion-Maximal Biclustering Algorithm on Adenoma Microarray Gene Expression Data

Abstract

Adenoma is a benign type of tumor in the epidermal layer of tissue. Adenoma can turn into malignant cancer which is then called Adenocarcinoma. There is a form of molecular biology data which is developing today, namely microarray gene expression data. Microarray can be used for detection and research in the field of oncology. One method for processing and analyzing microarray gene data is by biclustering. In this study, the writer will be using one method of biclustering, the Binary Inclusion-Maximal algorithm, and implement it on microarray gene expression data. The algorithm will be performed on Colon Adenoma data consisting of 7070 genes with four adenoma cell samples and four normal cell samples. The implementation took less than one second and resulted in 22 biclusters composed of 25 genes.