In 2017, Patel used the CRISPR system, together with a machine-learning computational model, to identify genes essential for tumor progression in melanoma cell lines, such as collagen type XVII alpha 1 (COL17A1), twinfilin-1 (TWF1), microRNA 101-2 (Hsa-Mir-101-2) and ribosomal protein L23 (RPL23) [21]. Here, RPL23 is linked to neoplasm.