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FOE-NER: fish disease event extraction algorithm based on pseudo trigger words and event element data enhancement
In response to the challenges of accurately identifying event triggers and elements in long texts related to aquaculture, existing models struggle to...
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SnapFISH-IMPUTE: an imputation method for multiplexed DNA FISH data
Chromatin spatial organization plays a crucial role in gene regulation. Recently developed and prospering multiplexed DNA FISH technologies enable...
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Fresh teams are associated with original and multidisciplinary research
Teamwork is one of the most prominent features in modern science. It is now well understood that team size is an important factor that affects the...
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ecpc: an R-package for generic co-data models for high-dimensional prediction
BackgroundHigh-dimensional prediction considers data with more variables than samples. Generic research goals are to find the best predictor or to...
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Develo** kNN forest data imputation for Catalonia
The combined use of LiDAR (Light Detection And Ranging) scanning and field inventories can provide spatially continuous wall-to-wall information on...
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Accelerating 3D genomics data analysis with Microcket
The three-dimensional (3D) organization of genome is fundamental to cell biology. To explore 3D genome, emerging high-throughput approaches have...
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Natural forest ALS-TLS point cloud data registration without control points
Airborne laser scanning (ALS) and terrestrial laser scanning (TLS) has attracted attention due to their forest parameter investigation and research...
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Reproducible mass spectrometry data processing and compound annotation in MZmine 3
Untargeted mass spectrometry (MS) experiments produce complex, multidimensional data that are practically impossible to investigate manually. For...
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Cytomulate: accurate and efficient simulation of CyTOF data
Recently, many analysis tools have been devised to offer insights into data generated via cytometry by time-of-flight (CyTOF). However, objective...
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Interrogating and Storing Data
When analyzing data, statistics is never far off. In fact, statistics is a structured approach to data analysis. Such a structured approach becomes...
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Enhancing winter wheat prediction with genomics, phenomics and environmental data
In the realm of multi-environment prediction, when the goal is to predict a complete environment using the others as a training set, the efficiency...
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pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods
BackgroundVariability in datasets is not only the product of biological processes: they are also the product of technical biases. ComBat and...
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PhyloNext: a pipeline for phylogenetic diversity analysis of GBIF-mediated data
BackgroundUnderstanding biodiversity patterns is a central topic in biogeography and ecology, and it is essential for conservation planning and...
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Disentangling nematode and arbuscular mycorrhizal fungal community effect on the growth of range-expanding Centaurea stoebe in original and new range soil
AimsNumerous organisms show range expansions in response to current climate change. Differences in expansion rates, such as between plants and soil...
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Genome sequence data of the contemporary fresh-market tomatoes
ObjectiveThe fresh-market tomato ( Solanum lycopersicum ) is bred for direct human consumption. It is selected for specific traits to meet market...
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Does the Instruction “Be Original and Create” Actually Affect the EEG Correlates of Performing Creative Tasks?
AbstractThe study provides the data related to synchronization/desynchronization when performing verbal creative (to create the endings of proverbs)...
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Soil sampling and sensed ancillary data requirements for soil map** in precision agriculture II: contour map** of soil properties with sensed z-score data for comparison with management zone averages
Sensed and soil sample data are used in two approaches for map** soil properties in precision agriculture: management zone (MZs) and contour maps....
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Dependency-aware deep generative models for multitasking analysis of spatial omics data
Spatially resolved transcriptomics (SRT) technologies have significantly advanced biomedical research, but their data analysis remains challenging...
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Comparative Genomic Analysis of Bacterial Data in BV-BRC: An Example Exploring Antimicrobial Resistance
As genomic and related data continue to expand, research biologists are often hampered by the computational hurdles required to analyze their data....
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Alignment of spatial genomics data using deep Gaussian processes
Spatially resolved genomic technologies have allowed us to study the physical organization of cells and tissues, and promise an understanding of...
