A support vector machine and a random forest classifier indicates a 15-miRNA set related to osteosarcoma recurrence.

ABSTRACT:

Background

Osteosarcoma, which originates in the mesenchymal tissue, is the prevalent primary solid malignancy of the bone. It is of great importance to explore the mechanisms of metastasis and recurrence, which are two primary reasons accounting for the high death rate in osteosarcoma.

Data and methods

Three miRNA expression profiles related to osteosarcoma were downloaded from GEO DataSets. Differentially expressed miRNAs (DEmiRs) were screened using MetaDE.ES of the MetaDE package. A support vector machine (SVM) classifier was constructed using optimal miRNAs, and its prediction efficiency for recurrence was detected in independent datasets. Finally, a co-expression network was constructed based on the DEmiRs and their target genes.

Results

In total, 78 significant

SUBMITTER: He Y 

PROVIDER: S-EPMC5759858 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature