Project description:We performed copy number analysis of high-grade osteosarcoma samples. in order to detect osteosarcoma drivers, we integrated these data with genome-wide gene expression data. We performed two different methods - a non-paired and a paired integrative analysis.
Project description:We performed copy number analysis of high-grade osteosarcoma samples. in order to detect osteosarcoma drivers, we integrated these data with genome-wide gene expression data. We performed two different methods - a non-paired and a paired integrative analysis. Copy number analysis was performed on 32 pre-treatment high-grade osteosarcoma diagnostic biopsies, of which 29 overlapped with the 84 samples used for gene expression analyses.
Project description:We performed genome-wide gene expression data of high-grade osteosarcoma samples. In order to detect osteosarcoma drivers, we integrated these data with copy number data. We performed two different methods - a non-paired and a paired integrative analysis. Genome-wide gene expression analysis was performed on 84 pre-treatment high-grade osteosarcoma diagnostic biopsies, of which 29 overlapped with the 32 samples used for copy number analysis. Two different sets of control samples were used for comparison: osteoblasts (n=3) and mesenchymal stem cells (n=12, GEO accession number GSE28974).
Project description:We performed genome-wide gene expression data of high-grade osteosarcoma samples. In order to detect osteosarcoma drivers, we integrated these data with copy number data. We performed two different methods - a non-paired and a paired integrative analysis.
