PrognosiT: Pathway/gene set-based tumour volume prediction using multiple kernel learning
Abstract Background: Identification of molecular mechanisms that determine tumour progression in cancer patients is a prerequisite for developing new disease…
Multiple kernel learning
A pan-cancer somatic mutation embedding using autoencoders
Abstract Background: Next generation sequencing instruments are providing new opportunities for comprehensive analyses of cancer genomes. The increasing availability of…