Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies
Background Integrating the rich information from multi-omics data has been a popular
approach to survival prediction and bio-marker identification for several cancer studies. To …
approach to survival prediction and bio-marker identification for several cancer studies. To …
Identifying subtype-specific associations between gene expression and DNA methylation profiles in breast cancer
Background Breast cancer is a complex disease in which different genomic patterns exists
depending on different subtypes. Recent researches present that multiple subtypes of breast …
depending on different subtypes. Recent researches present that multiple subtypes of breast …
Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer
Motivation To better understand the molecular features of cancers, a comprehensive
analysis using multi-omics data has been conducted. In addition, a pathway activity …
analysis using multi-omics data has been conducted. In addition, a pathway activity …
HCNM: heterogeneous correlation network model for multi-level integrative study of multi-omics data for cancer subtype prediction
RR Vangimalla… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Integrative analysis of multi-omics data is important for biomedical applications, as it is
required for a comprehensive understanding of biological function. Integrating multi-omics …
required for a comprehensive understanding of biological function. Integrating multi-omics …
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 …
related biomarkers that cannot be identified from a single omics profile. Although protein …
A multivariable approach for risk markers from pooled molecular data with only partial overlap
AS Stelzer, L Maccioni, A Gerhold-Ay, KE Smedby… - BMC medical …, 2019 - Springer
Background Increasingly, molecular measurements from multiple studies are pooled to
identify risk scores, with only partial overlap of measurements available from different …
identify risk scores, with only partial overlap of measurements available from different …
[PDF][PDF] RadTrix: A Composite Hybrid Visualization for Unbalanced Bipartite Graphs in Biological Datasets
RR Vangimalla, J Sreevalsan-Nair - iiitb.ac.in
Bipartite graphs (bigraphs or 2-mode networks) are widely used in ecological networks,
biomedical networks, biomolecular networks, protein complexes in protein-protein …
biomedical networks, biomolecular networks, protein complexes in protein-protein …