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## Significance:  This paper is an extension of previous researches involving the investigation of various approaches in classifying cancer tissues. Researchers in the medical field, pathologists, and biostatisticians are the intended primary audience and will benefit from the comparative presentation of algorithms on various cancer-type tissues (leukemia, colon, lung). This will enable researchers to use the appropriate algorithm based on the specific cancer type. type since the high dimensionality may add noise in the modelling process, and more importantly, it is critical to find a smaller set of gene expressions that are "sufficiently informative to distinguish cells of different types" \cite{Ben_Dor_2000}.