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Smallholder farmers’ knowledge, attitudes and practices towards biological control of papaya mealybug in Kenya
BackgroundFarmer perceptions are highly important in influencing on-farm pest management decision-making. Biological control is extremely sustainable...
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Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights
Identification of Alzheimer’s disease (AD) onset risk can facilitate interventions before irreversible disease progression. We demonstrate that...
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SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domains
Modern multiomic technologies can generate deep multiscale profiles. However, differences in data modalities, multicollinearity of the data, and...
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Extracting Biomedical Entity Relations using Biological Interaction Knowledge
Discovering relations of cross-type biomedical entities is crucial for biology research. A large amount of potential or indirect connected biological...
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Using empirical biological knowledge to infer regulatory networks from multi-omics data
BackgroundIntegration of multi- omics data can provide a more complex view of the biological system consisting of different interconnected molecular...
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A seed expansion-based method to identify essential proteins by integrating protein–protein interaction sub-networks and multiple biological characteristics
BackgroundThe identification of essential proteins is of great significance in biology and pathology. However, protein–protein interaction (PPI) data...
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Comparing methods for drug–gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
This paper applies different link prediction methods on a knowledge graph generated from biomedical literature, with the aim to compare their ability...
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Biological Interactions
Knowledge about the influence of biological interactions in the structuring and functioning of benthic communities on Brazilian sandy beaches is...
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Computational thinking through the lens of biological evolution learning: enhancing understanding through the levels of biological organization and computational complexity
Research on exploring the relationship between computational thinking and domain specific knowledge gains (i.e. biological evolution) are becoming...
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The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction
BackgroundWith the rapid increase in the amount of Protein-Protein Interaction (PPI) data, the establishment of an event-centered PPI ontology that...
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GINv2.0: a comprehensive topological network integrating molecular interactions from multiple knowledge bases
Knowledge bases have been instrumental in advancing biological research, facilitating pathway analysis and data visualization, which are now widely...
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Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
BackgroundThe pharmaceutical field faces a significant challenge in validating drug target interactions (DTIs) due to the time and cost involved,...
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Massive economic costs of biological invasions despite widespread knowledge gaps: a dual setback for India
Biological invasions are one of the top drivers of the ongoing biodiversity crisis. An underestimated consequence of invasions is the enormity of...
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Biological Networks
In several areas of biology, networks are frequently employed to conveniently describe interactions between relevant biological components....
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ROCK2-RNA interaction map reveals multiple biological mechanisms underlying tumor progression in renal cell carcinoma
Renal cell carcinoma (RCC) is the most common form of kidney cancer in adults. Despite new therapeutic modalities, the outcomes for RCC patients...
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Seven knowledge gaps in modern biogerontology
About a year ago, members of the editorial board of Biogerontology were requested to respond to a query by the editor-in-chief of the journal as to...
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Biological Networks Analysis
Networks are widely recognized as a popular method for representing complex biological processes by capturing the interconnected relationships...
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Protein–Protein Interaction Network Analysis Using NetworkX
In recent years, extracting information from biological data has become a particularly valuable way of gaining knowledge. Molecular interaction...
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Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis
BackgroundCalcific aortic valve stenosis (CAVS) is a fatal disease and there is no pharmacological treatment to prevent the progression of CAVS. This...
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Characterization of the Biological Response to Scaffolds
Characterizing the biological responseBiological response of biomaterialsBiomaterials, scaffoldsScaffold or medical devices is crucial to...