TY - GEN AU - LiƱares-Blanco, Jose AU - PAZOS SIERRA, ALEJANDRO AU - Fernandez Lozano, Carlos PY - 2021 SN - 2376-5992 UR - http://hdl.handle.net/20.500.11940/17179 AB - In recent years, machine learning (ML) researchers have changed their focus towards biological problems that are difficult to analyse with standard approaches. Large initiatives such as The Cancer Genome Atlas (TCGA) have allowed the use of omic data... LA - en TI - Machine learning analysis of TCGA cancer data DO - 10.7717/peerj-cs.584 KW - INIBIC ER -