Pattern analysis of protein images from fluorescence microscopy using Gray Level Co-occurrence Matrix

The performance of the proposed system is validated using three benchmark datasets including HeLa (99.6%), CHO (100%), and LOCATE Endogenous (100%) datasets. It is anticipated that GLCM is still an efficient technique for pattern analysis in the field of bioinformatics and computational biology as well as might be helpful in drug discovery related applications.