[HTML][HTML] Transforming Clinical Research: The Power of High-Throughput Omics Integration
R Vitorino - Proteomes, 2024 - mdpi.com
High-throughput omics technologies have dramatically changed biological research,
providing unprecedented insights into the complexity of living systems. This review presents …
providing unprecedented insights into the complexity of living systems. This review presents …
Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO
Background Conventional differential gene expression analysis by methods such as
student'st-test, SAM, and Empirical Bayes often searches for statistically significant genes …
student'st-test, SAM, and Empirical Bayes often searches for statistically significant genes …
Dynamic bayesian networks for integrating multi-omics time series microbiome data
D Ruiz-Perez, J Lugo-Martinez, N Bourguignon… - Msystems, 2021 - Am Soc Microbiol
ABSTRACT A key challenge in the analysis of longitudinal microbiome data is the inference
of temporal interactions between microbial taxa, their genes, the metabolites that they …
of temporal interactions between microbial taxa, their genes, the metabolites that they …
INDEED: Integrated differential expression and differential network analysis of omic data for biomarker discovery
Differential expression (DE) analysis is commonly used to identify biomarker candidates that
have significant changes in their expression levels between distinct biological groups. One …
have significant changes in their expression levels between distinct biological groups. One …
Integrating prior biological knowledge and graphical lasso for network inference
Systems biology aims at unravelling the mechanisms of complex diseases by investigating
how individual elements of the cell (eg, genes, proteins, metabolites, etc.) interact with each …
how individual elements of the cell (eg, genes, proteins, metabolites, etc.) interact with each …
MOTA: Multi-omic integrative analysis for biomarker discovery
Recent advancement of omic technologies provides researchers with opportunities to
search for disease biomarkers at the systems level. However, selection of biomarker …
search for disease biomarkers at the systems level. However, selection of biomarker …
Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery
Y Zuo - 2017 - vtechworks.lib.vt.edu
Recent advances in high-throughput technique enables the generation of a large amount of
omic data such as genomics, transcriptomics, proteomics, metabolomics, glycomics etc …
omic data such as genomics, transcriptomics, proteomics, metabolomics, glycomics etc …