Dataset.
Supporting Information - Multi-omic integration of DNA methylation and gene expression data reveals molecular vulnerabilities in glioblastoma
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/346474
Digital.CSIC. Repositorio Institucional del CSIC
- Santamarina-Ojeda, Pablo
- Tejedor, Juan Ramón
- Pérez, Raúl F.
- López, Virginia
- Roberti, Annalisa
- Mangas, Cristina
- Fernández, Agustín F.
- Fraga, Mario F.
Fig. S1. Optimization of multi-omics factor analysis models.
Fig. S2. Clinical correlations observed in the factors identified by the multi-omics factor analysis model.
Fig. S3. Differential Gene Expression analyses of Glioblastoma Stem Cells.
Fig. S4. Gene sets and molecular pathways enriched in the different Glioblastoma clusters identified in the co-expression analysis approach.
Fig. S5. Differential Methylation changes observed in Glioblastoma Stem Cells.
Fig. S6. Chromatin state and TFBS enrichments on pd-GBSC data.
Fig. S7. Correlation between SMAD3 and CEBPs expression levels and the epigenetic status of their cognate putative binding sites.
Fig. S8. Validation of candidate TF using single-cell Glioblastoma Stem Cell data.
Data S1. Legends., Peer reviewed
DOI: http://hdl.handle.net/10261/346474
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/346474
HANDLE: http://hdl.handle.net/10261/346474
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/346474
Ver en: http://hdl.handle.net/10261/346474
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/346474
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1 Versiones
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/346474
Dataset. 2023
SUPPORTING INFORMATION - MULTI-OMIC INTEGRATION OF DNA METHYLATION AND GENE EXPRESSION DATA REVEALS MOLECULAR VULNERABILITIES IN GLIOBLASTOMA
Digital.CSIC. Repositorio Institucional del CSIC
- Santamarina-Ojeda, Pablo
- Tejedor, Juan Ramón
- Pérez, Raúl F.
- López, Virginia
- Roberti, Annalisa
- Mangas, Cristina
- Fernández, Agustín F.
- Fraga, Mario F.
Fig. S1. Optimization of multi-omics factor analysis models.
Fig. S2. Clinical correlations observed in the factors identified by the multi-omics factor analysis model.
Fig. S3. Differential Gene Expression analyses of Glioblastoma Stem Cells.
Fig. S4. Gene sets and molecular pathways enriched in the different Glioblastoma clusters identified in the co-expression analysis approach.
Fig. S5. Differential Methylation changes observed in Glioblastoma Stem Cells.
Fig. S6. Chromatin state and TFBS enrichments on pd-GBSC data.
Fig. S7. Correlation between SMAD3 and CEBPs expression levels and the epigenetic status of their cognate putative binding sites.
Fig. S8. Validation of candidate TF using single-cell Glioblastoma Stem Cell data.
Data S1. Legends., Peer reviewed
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