Health IT Analytics November 13, 2020
A predictive analytics algorithm identified novel tumor suppressor genes and oncogenes that affect cancer progression.
Using a predictive analytics tool, researchers from the University of California, Irvine (UCI) were able to discover previously undetected genes that drive cancer progression, according to a study published in Science Advances.
The algorithm, called DORGE (Discovery of Oncogenes and tumor suppressoR genes using Genetic and Epigenetic features), has deepened researchers’ understanding of epigenetic mechanisms in tumorigenesis.
Cancer is the result of an accumulation of key genetic alterations that disrupt the balance between cell division and apoptosis. Genes with driver mutations that affect cancer progression are known as cancer driver genes, and can be classified as tumor suppressor genes (TSGs) and oncogenes (OGs) based on...
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