Cargando…
Topological integration of RPPA proteomic data with multi-omics data for survival prediction in breast cancer via pathway activity inference
BACKGROUND: The analysis of integrated multi-omics data enables the identification of disease-related biomarkers that cannot be identified from a single omics profile. Although protein-level data reflects the cellular status of cancer tissue more directly than gene-level data, past studies have main...
Autores principales: | Kim, Tae Rim, Jeong, Hyun-Hwan, Sohn, Kyung-Ah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624183/ https://www.ncbi.nlm.nih.gov/pubmed/31296204 http://dx.doi.org/10.1186/s12920-019-0511-x |
Ejemplares similares
-
Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies
por: Kim, So Yeon, et al.
Publicado: (2019) -
iTOP: inferring the topology of omics data
por: Aben, Nanne, et al.
Publicado: (2018) -
Integration of pan-cancer transcriptomics with RPPA proteomics reveals mechanisms of epithelial-mesenchymal transition
por: Koplev, Simon, et al.
Publicado: (2018) -
RPPA SPACE: an R package for normalization and quantitation of Reverse-Phase Protein Array data
por: Shehwana, Huma, et al.
Publicado: (2022) -
Inferring Interaction Networks From Multi-Omics Data
por: Hawe, Johann S., et al.
Publicado: (2019)