NdmaSNF: cancer subtype discovery based on integrative framework assisted by network diffusion model.

ABSTRACT: Recently, with the rapid progress of high-throughput sequencing technology, diverse genomic data are easy to be obtained. To effectively exploit the value of those data, integrative methods are urgently needed. In this paper, based on SNF (Similarity Network Diffusion) [1], we proposed a new integrative method named ndmaSNF (network diffusion model assisted SNF), which can be used for cancer subtype discovery with the advantage of making use of somatic mutation data and other discrete data. Firstly, we incorporate network diffusion model on mutation data to make it smoothed and adaptive. Then, the mutation data along with other data types are utilized in the SNF framework by constructing patient-by-patient similarity networks for each data type. Finally, a fused patient network containing

SUBMITTER: Yang C 

PROVIDER: S-EPMC5687665 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature