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Systems biology in cardiovascular disease: a multiomics approach
Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …
new informatics approaches alongside conventional statistical methods. Systems theories …
Genetics of coronary artery disease in the post‐GWAS era
During the past decade, genome‐wide association studies (GWAS) have transformed our
understanding of many heritable traits. Three recent large‐scale GWAS meta‐analyses now …
understanding of many heritable traits. Three recent large‐scale GWAS meta‐analyses now …
Multi-omics approaches for revealing the complexity of cardiovascular disease
The development and progression of cardiovascular disease (CVD) can mainly be attributed
to the narrowing of blood vessels caused by atherosclerosis and thrombosis, which induces …
to the narrowing of blood vessels caused by atherosclerosis and thrombosis, which induces …
Relevance of multi-omics studies in cardiovascular diseases
Cardiovascular diseases are the leading cause of death around the world. Despite the
larger number of genes and loci identified, the precise mechanisms by which these genes …
larger number of genes and loci identified, the precise mechanisms by which these genes …
[HTML][HTML] Risk prediction of cardiovascular events by exploration of molecular data with explainable artificial intelligence
Cardiovascular diseases (CVD) annually take almost 18 million lives worldwide. Most lethal
events occur months or years after the initial presentation. Indeed, many patients experience …
events occur months or years after the initial presentation. Indeed, many patients experience …
Multitissue multiomics systems biology to dissect complex diseases
X Yang - Trends in molecular medicine, 2020 - cell.com
Most complex diseases involve genetic and environmental risk factors, engage multiple cells
and tissues, and follow a polygenic or omnigenic model depicting numerous genes …
and tissues, and follow a polygenic or omnigenic model depicting numerous genes …
[HTML][HTML] The applications of deep learning algorithms on in silico druggable proteins identification
L Yu, L Xue, F Liu, Y Li, R **g, J Luo - Journal of Advanced Research, 2022 - Elsevier
Introduction The top priority in drug development is to identify novel and effective drug
targets. In vitro assays are frequently used for this purpose; however, traditional …
targets. In vitro assays are frequently used for this purpose; however, traditional …
Strengths and opportunities of network medicine in cardiovascular diseases
Network medicine can advance current medical practice by arising as response to the
limitations of a reductionist approach focusing on cardiovascular (CV) diseases as a direct …
limitations of a reductionist approach focusing on cardiovascular (CV) diseases as a direct …
Prioritization of causal genes for coronary artery disease based on cumulative evidence from experimental and in silico studies
Genome-wide association studies have led to a significant progress in identification of
genomic loci affecting coronary artery disease (CAD) risk. However, revealing the causal …
genomic loci affecting coronary artery disease (CAD) risk. However, revealing the causal …
Advances and challenges for GWAS analysis in cardiac diseases: a focus on Coronary Artery Disease (CAD)
The achievement of genome-wide association studies (GWAS) has rapidly progressed our
understanding of the etiology of coronary artery disease (CAD). It unlocks new strategies to …
understanding of the etiology of coronary artery disease (CAD). It unlocks new strategies to …