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 tumor data allows to research the complexity of cancer disease with machine learning methods. The large available repositories of hi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-12-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-019-3298-z |