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Integrative approaches for finding modular structure in biological networks
A central goal of systems biology is to elucidate the structural and functional architecture of
the cell. To this end, large and complex networks of molecular interactions are being rapidly …
the cell. To this end, large and complex networks of molecular interactions are being rapidly …
Recent advances in network-based methods for disease gene prediction
Disease–gene association through genome-wide association study (GWAS) is an arduous
task for researchers. Investigating single nucleotide polymorphisms that correlate with …
task for researchers. Investigating single nucleotide polymorphisms that correlate with …
GCN-MF: disease-gene association identification by graph convolutional networks and matrix factorization
Discovering disease-gene association is a fundamental and critical biomedical task, which
assists biologists and physicians to discover pathogenic mechanism of syndromes. With …
assists biologists and physicians to discover pathogenic mechanism of syndromes. With …
Positive-unlabeled learning for disease gene identification
Background: Identifying disease genes from human genome is an important but challenging
task in biomedical research. Machine learning methods can be applied to discover new …
task in biomedical research. Machine learning methods can be applied to discover new …
End-to-end interpretable disease–gene association prediction
Identifying disease–gene associations is a fundamental and critical biomedical task towards
understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time …
understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time …
A comprehensive dataset of genes with a loss-of-function mutant phenotype in Arabidopsis
J Lloyd, D Meinke - Plant physiology, 2012 - academic.oup.com
Despite the widespread use of Arabidopsis (Arabidopsis thaliana) as a model plant, a
curated dataset of Arabidopsis genes with mutant phenotypes remains to be established. A …
curated dataset of Arabidopsis genes with mutant phenotypes remains to be established. A …
Ensemble positive unlabeled learning for disease gene identification
An increasing number of genes have been experimentally confirmed in recent years as
causative genes to various human diseases. The newly available knowledge can be …
causative genes to various human diseases. The newly available knowledge can be …
Computational approaches for prioritizing candidate disease genes based on PPI networks
With the continuing development and improvement of genome-wide techniques, a great
number of candidate genes are discovered. How to identify the most likely disease genes …
number of candidate genes are discovered. How to identify the most likely disease genes …
Effects of psychological stress on innate immunity and metabolism in humans: a systematic analysis
S Priyadarshini, P Aich - 2012 - journals.plos.org
Stress is perhaps easiest to conceptualize as a process which allows an organism to
accommodate for the demands of its environment such that it can adapt to the prevailing set …
accommodate for the demands of its environment such that it can adapt to the prevailing set …
Transfer learning across ontologies for phenome–genome association prediction
Motivation To better predict and analyze gene associations with the collection of phenotypes
organized in a phenotype ontology, it is crucial to effectively model the hierarchical structure …
organized in a phenotype ontology, it is crucial to effectively model the hierarchical structure …