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JCBIE: a joint continual learning neural network for biomedical information extraction
Extracting knowledge from heterogeneous data sources is fundamental for the construction of structured biomedical knowledge graphs (BKGs), where...
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Digital surveillance in Latin American diseases outbreaks: information extraction from a novel Spanish corpus
BackgroundIn order to detect threats to public health and to be well-prepared for endemic and pandemic illness outbreaks, countries usually rely on...
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Extraction of Quantitative Information from Hyperspectral Reflectance Images for Noninvasive Plant Phenoty**
AbstractAssessment of plant traits (phenoty**) is central to modern advanced techniques of plant sciences and accelerated breeding of crop plants,...
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IMSE: interaction information attention and molecular structure based drug drug interaction extraction
BackgroundExtraction of drug drug interactions from biomedical literature and other textual data is an important component to monitor drug-safety and...
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A pipeline for the retrieval and extraction of domain-specific information with application to COVID-19 immune signatures
BackgroundThe accelerating pace of biomedical publication has made it impractical to manually, systematically identify papers containing specific...
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Sampling and Extraction of Plant Parasitic Nematodes
The study of nematodes requires availability of nematode specimens and their population densities in plants and soil. This can be achieved using...
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Identification of Mycoviruses by dsRNA Extraction
Mycoviruses exist in all major groups of fungi. With the continuous development of science and technology, the methods of studying viruses are...
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Extraction of Soluble Proteins from Leaves
Protein biochemistry can provide valuable answers to better understand plant performance and responses to the surrounding environment. In this...
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SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features
BackgroundDrug–target affinity (DTA) prediction is a critical step in the field of drug discovery. In recent years, deep learning-based methods have...
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Development of metabolome extraction strategy for metabolite profiling of skin tissue
IntroductionChanges in skin phenotypic characteristics are based on skin tissue. The study of the metabolic changes in skin tissue can help...
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CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction
Recognizing drug–target interactions (DTI) stands as a pivotal element in the expansive field of drug discovery. Traditional biological wet...
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Phage DNA Extraction, Genome Assembly, and Genome Closure
Bacteriophages, or more simply phages, are currently experiencing a renaissance in life science research for their roles in natural microbial...
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Extraction, Isolation, and Characterization Techniques of Structural Proteins
This chapter comprehensively explores the extraction methods, isolation techniques, and characterization approaches for structural proteins. It...
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A biomedical event extraction method based on fine-grained and attention mechanism
BackgroundBiomedical event extraction is a fundamental task in biomedical text mining, which provides inspiration for medicine research and disease...
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Extraction and Purification of Outer Membrane Vesicles and Their Associated RNAs
Outer membrane vesicles (OMVs), produced by Gram negative-bacteria and sRNAs, are key players in cell-to-cell communication and interactions of...
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Extraction optimisation to measure viral abundance in red soils
Viruses are extremely abundant in soils and have various important ecological implications therein. The quantification and identification of soil...
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Extracting illuminated vegetation, shadowed vegetation and background for finer fractional vegetation cover with polarization information and a convolutional network
Shadows are inevitable in vegetated remote sensing scenes due to variations in viewing and solar geometries, resulting in illuminated vegetation,...
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SCA: recovering single-cell heterogeneity through information-based dimensionality reduction
Dimensionality reduction summarizes the complex transcriptomic landscape of single-cell datasets for downstream analyses. Current approaches favor...
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Season, storage and extraction method impact on the phytochemical profile of Terminalia ivorensis
BackgroundTerminalia ivorensis (TI) is used in West African ethnomedicine for the treatment of conditions including ulcers, malaria and wounds....
