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Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep46598
Abstract: In order to maximize the use of results from high-throughput experimental studies, e.g. GWAS, for identification and diagnostics of new disease-associated genes, it is important to have properly analyzed and benchmarked gene prioritization tools. While…
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Keywords:
prioritization tools;
network;
gene prioritization;
gene ... See more keywords
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Published in 2021 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbab006
Abstract: Abstract Network-based gene prioritization algorithms are designed to prioritize disease-associated genes based on known ones using biological networks of protein interactions, gene–disease associations (GDAs) and other relationships between biological entities. Various algorithms have been developed…
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Keywords:
network based;
gene prioritization;
disease;
based gene ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac446
Abstract: MOTIVATION Over the past decade, network-based approaches have proven useful in identifying disease modules within the human interactome, often providing insights into key mechanisms and guiding the quest for therapeutic targets. This is all the…
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Keywords:
random walks;
disease;
disease gene;
biological random ... See more keywords
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Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2025-5
Abstract: BackgroundThe uncovering of genes linked to human diseases is a pressing challenge in molecular biology and precision medicine. This task is often hindered by the large number of candidate genes and by the heterogeneity of…
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Keywords:
kernel based;
prioritization;
gene prioritization;
scalable kernel ... See more keywords