CancerNet: a unified deep learning network for pan-cancer diagnostics.

ABSTRACT:

Background

Despite remarkable advances in cancer research, cancer remains one of the leading causes of death worldwide. Early detection of cancer and localization of the tissue of its origin are key to effective treatment. Here, we leverage technological advances in machine learning or artificial intelligence to design a novel framework for cancer diagnostics. Our proposed framework detects cancers and their tissues of origin using a unified model of cancers encompassing 33 cancers represented in The Cancer Genome Atlas (TCGA). Our model exploits the learned features of different cancers reflected in the respective dysregulated epigenomes, which arise early in carcinogenesis and differ remarkably between different cancer types or subtypes, thus holding a great promise in early canc

SUBMITTER: Gore S 

PROVIDER: S-EPMC9195411 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature