BicGenesis: A Method to Identify ESCC Biomarkers Using the Biclustering Approach

Biclustering has already been established as an effective tool to study gene expression data toward interesting biomarker findings for a given disease. This paper examines the effectiveness of some prominent biclustering algorithms in extracting biclusters of high biological significance toward the identification of interesting biomarkers. We have chosen Esophageal Squamous Cell Carcinoma (ESCC) as a case for our empirical study and our method called BicGenesis could identify eight genes as possible biomarkers for ESCC.