Results 51 to 60 of about 2,805,831 (274)
Biomedical Information Extraction for Disease Gene Prioritization
CoRR, 2020 4th Knowledge Representation and Reasoning Meets Machine Learning Workshop (KR2ML), at NeurIPS ...
Jupinder Parmar +4 more
openaire +2 more sources
Summary of gene prioritization.
, 2019 Summary of gene prioritization.
Sodbo Z. Sharapov (6611891) +3 more
core +1 more source
Gene prioritization using multi-loci information for Insomnia meta analysis
, 2022 R script to perform gene prioritization proposed in the manuscript "Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways" Nat.
Kyoko Watanabe
core +1 more source
Enhancing the prioritization of disease-causing genes through tissue specific protein interaction networks. [PDF]
PLoS Computational Biology, 2012 The prioritization of candidate disease-causing genes is a fundamental challenge in the post-genomic era. Current state of the art methods exploit a protein-protein interaction (PPI) network for this task.
Oded Magger +3 more
doaj +1 more source
ERC disease gene prioritization.
, 2015 The prioritization of the true disease gene relative to its chromosomal neighbors improves with a stronger ERC signal within the training set. A low p-value (x-axis) indicates strong ERC within a training set.
Nicholas Wolfe (697704) +2 more
core +1 more source
Kernel-based data fusion for gene prioritization [PDF]
Bioinformatics, 2007 Abstract Motivation: Hunting disease genes is a problem of primary importance in biomedical research. Biologists usually approach this problem in two steps: first a set of candidate genes is identified using traditional positional cloning or high-throughput genomics techniques; second, these genes are further investigated and validated ...
Tijl De Bie +3 more
openaire +3 more sources
Prioritization of potential causative genes for schizophrenia in placenta
Nature Communications, 2023 AbstractOur earlier work has shown that genomic risk for schizophrenia converges with early life complications in affecting risk for the disorder and sex-biased neurodevelopmental trajectories. Here, we identify specific genes and potential mechanisms that, in placenta, may mediate such outcomes. We performed TWAS in healthy term placentae (N = 147) to
Gianluca Ursini +11 more
openaire +3 more sources
ERC gene prioritization compared to other methods.
, 2015 ERC gene prioritization compared to other methods.
Nicholas Wolfe (697704) +2 more
core +1 more source
Network integration boosts disease gene prioritization
, 2013 We propose and systematically compare different gene network combination algorithms to experimentally assess the effect of network integration in the context of gene prioritization. An extensive application of network-based gene prioritization methods to
M. Re +4 more
core +2 more sources
Exploiting protein-protein interaction networks for genome-wide disease-gene prioritization. [PDF]
PLoS ONE, 2012 Complex genetic disorders often involve products of multiple genes acting cooperatively. Hence, the pathophenotype is the outcome of the perturbations in the underlying pathways, where gene products cooperate through various mechanisms such as protein ...
Emre Guney, Baldo Oliva
doaj +1 more source