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Adaptive Weighted Neighbors Method for Sensitivity Analysis
AbstractIdentifying key factors from observational data is important for understanding complex phenomena in many disciplines, including biomedical...
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Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier
BackgroundSelf-interacting proteins (SIPs), two or more copies of the protein that can interact with each other expressed by one gene, play a central...
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BLNIMDA: identifying miRNA-disease associations based on weighted bi-level network
BackgroundMicroRNAs (miRNAs) have been confirmed to be inextricably linked to the emergence of human complex diseases. The identification of the...
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An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images
BackgroundTwo types of non-invasive, radiation-free, and inexpensive imaging technologies that are widely employed in medical applications are...
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ASI-DBNet: An Adaptive Sparse Interactive ResNet-Vision Transformer Dual-Branch Network for the Grading of Brain Cancer Histopathological Images
Brain cancer is the deadliest cancer that occurs in the brain and central nervous system, and rapid and precise grading is essential to reduce...
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StableDNAm: towards a stable and efficient model for predicting DNA methylation based on adaptive feature correction learning
BackgroundDNA methylation, instrumental in numerous life processes, underscores the paramount importance of its accurate prediction. Recent studies...
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YOLOv8-Rice: a rice leaf disease detection model based on YOLOv8
Rice, being an important global food source, is susceptible to diseases during its growth, resulting in a negative impact on its yield. Existing...
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Multilayer feature fusion and attention-based network for crops and weeds segmentation
Distinguishing weeds from crops is a critical challenge in agriculture, with the existing agriculture semantic segmentation networks simply combining...
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Navigational roots of spatial and temporal memory structure
Our minds are constantly in transit, from the present to the past to the future, across places we have and have not directly experienced....
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Inference of Gene Regulatory Networks Based on Multi-view Hierarchical Hypergraphs
Since gene regulation is a complex process in which multiple genes act simultaneously, accurately inferring gene regulatory networks (GRNs) is a...
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An adaptive combination method for Cauchy variable based on optimal threshold
In sequence study, set-based analysis has been developed as a popular tool for analysing the association of a group rare variant with disease....
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CDC167 exhibits potential as a biomarker for airway inflammation in asthma
Current asthma treatments have been discovered to decrease the risk of disease progression. Herein, we aimed to characterize novel potential...
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An efficient deep learning model for tomato disease detection
Tomatoes possess significant nutritional and economic value. However, frequent diseases can detrimentally impact their quality and yield. Images of...
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GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization
Non-coding RNAs (ncRNAs) draw much attention from studies widely in recent years because they play vital roles in life activities. As a good...
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GScluster: network-weighted gene-set clustering analysis
BackgroundGene-set analysis (GSA) has been commonly used to identify significantly altered pathways or functions from omics data. However, GSA often...
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From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation
Digital reconstruction has been instrumental in deciphering how in vitro neuron architecture shapes information flow. Emerging approaches reconstruct...
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Discovery of Genetic Biomarkers for Alzheimer’s Disease Using Adaptive Convolutional Neural Networks Ensemble and Genome-Wide Association Studies
ObjectiveTo identify candidate neuroimaging and genetic biomarkers for Alzheimer’s disease (AD) and other brain disorders, especially for...
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Nimble vs. torpid responders to hydration pulse duration among soil microbes
Environmental parameters vary in time, and variability is inherent in soils, where microbial activity follows precipitation pulses. The expanded...
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Battling the coronavirus ‘infodemic’ among social media users in Kenya and Nigeria
How can we induce social media users to be discerning when sharing information during a pandemic? An experiment on Facebook Messenger with users from...
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MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder
BackgroundIntegrating multi-omics data is emerging as a critical approach in enhancing our understanding of complex diseases. Innovative...
