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C1M2: a universal algorithm for 3D instance segmentation, annotation, and quantification of irregular cells
Cell instance segmentation is a fundamental task for many biological applications, especially for packed cells in three-dimensional (3D) microscope...
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Feature fusion of body surface and motion-based instance segmentation for high-density fish in industrial aquaculture
Fish phenoty** serves as a cornerstone for refined management and sustainable development in industrialized aquaculture. High-precision instance...
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Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences
Early detection of cancers has been much explored due to its paramount importance in biomedical fields. Among different types of data used to answer...
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Detection of m6A from direct RNA sequencing using a multiple instance learning framework
RNA modifications such as m6A methylation form an additional layer of complexity in the transcriptome. Nanopore direct RNA sequencing can capture...
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Instance segmentation of partially occluded Medjool-date fruit bunches for robotic thinning
Medjool date thinning automation is essential for reducing Medjool production labor and improving fruit quality. Thinning automation requires motion...
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Process Mining
This section presents Process Mining as an analysis tool with a very interdisciplinary application field. Process Mining makes use of execution logs,...
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Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data
BackgroundThe accurate prediction of genomic breeding values is central to genomic selection in both plant and animal breeding studies. Genomic...
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Instance-based error correction for short reads of disease-associated genes
BackgroundGenomic reads from sequencing platforms contain random errors. Global correction algorithms have been developed, aiming to rectify all...
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Continuous Bioprocessing for Upstream Process: Perfusion Process
Perfusion processes are gaining higher interest in the industry for the production of glycoproteins. The intensification that this operation mode can...
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Multi-class Cancer Classification of Whole Slide Images Through Transformer and Multiple Instance Learning
Whole slide images (WSIs) are high-resolution and lack localized annotations, whose classification can be treated as a multiple instance learning...
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Coevolution of the premaxillary ascending process and jaw protrusion in Lake Malawi cichlid fishes
Variation in jaw protrusion is critical to cichlid fish trophic diversification. For instance, jaw protrusion distance can influence suction, attack...
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Aryl hydrocarbon receptor (AhR) reveals evidence of antagonistic pleiotropy in the regulation of the aging process
The antagonistic pleiotropy hypothesis is a well-known evolutionary theory to explain the aging process. It proposes that while a particular gene may...
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Using “Galaxy-rCASC”: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis
rCASC is a modular workflow providing an integrated environment for single-cell RNA-seq (scRNA-Seq) data analysis exploiting Docker containers to...
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Transcriptional and epigenetic decoding of the microglial aging process
As important immune cells, microglia undergo a series of alterations during aging that increase the susceptibility to brain dysfunctions. However,...
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A family of process-based models to simulate landscape use by multiple taxa
ContextLand-use change is a key driver of biodiversity loss. Models that accurately predict how biodiversity might be affected by land-use changes...
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Enhanced maltotetraose purity in industrial production by a sustainable bio-physical process
Maltotetraose (G4) consists of four glucose units linked by an α-1,4-glycosidic bond. This compound demonstrates remarkable versatility in food...
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An overview of the production of tissue extracellular matrix and decellularization process
Thousands of patients need an organ transplant yearly, while only a tiny percentage have this chance to receive a tissue/organ transplant. Nowadays,...
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Lack of involvement of CD63 and CD9 tetraspanins in the extracellular vesicle content delivery process
Extracellular vesicles (EVs) are thought to mediate intercellular communication by transferring cargoes from donor to acceptor cells. The EV...
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Training instance segmentation neural network with synthetic datasets for crop seed phenoty**
In order to train the neural network for plant phenoty**, a sufficient amount of training data must be prepared, which requires time-consuming...
