Simultaneous Interrogation of Cancer Omics to Identify Subtypes With Significant Clinical Differences.

ABSTRACT: Recent advances in high-throughput sequencing have accelerated the accumulation of omics data on the same tumor tissue from multiple sources. Intensive study of multi-omics integration on tumor samples can stimulate progress in precision medicine and is promising in detecting potential biomarkers. However, current methods are restricted owing to highly unbalanced dimensions of omics data or difficulty in assigning weights between different data sources. Therefore, the appropriate approximation and constraints of integrated targets remain a major challenge. In this paper, we proposed an omics data integration method, named high-order path elucidated similarity (HOPES). HOPES fuses the similarities derived from various omics data sources to solve the dimensional discrepancy, and progressivel

SUBMITTER: Xu A 

PROVIDER: S-EPMC6448130 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature