
Since the publication of The Cancer Genome Atlas data in 2013, the advances in the sequencing techniques allowed us to study cancer through whole genome sequencing and multiomics approaches. The vast amount of data generated still needs to be thoroughly deciphered, and the advent of machine learning approaches will be the next step towards personalized approaches for cancer medicine.
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