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Assessing the reliability of point mutation as data augmentation for deep learning with genomic data
BackgroundDeep neural networks (DNNs) have the potential to revolutionize our understanding and treatment of genetic diseases. An inherent limitation...
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Mdwgan-gp: data augmentation for gene expression data based on multiple discriminator WGAN-GP
BackgroundAlthough gene expression data play significant roles in biological and medical studies, their applications are hampered due to the...
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Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
BackgroundThe blood–brain barrier serves as a critical interface between the bloodstream and brain tissue, mainly composed of pericytes, neurons,...
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A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression
BackgroundGene expression analysis can provide useful information for analyzing complex biological mechanisms. However, many reported findings are...
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Identification of geographical origin and adulteration of Northeast China soybeans by mid-infrared spectroscopy and spectra augmentation
Mathematical models based on infrared spectroscopy and machine learning have been successfully used to trace the origin of soybeans. However, as...
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A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation
BackgroundThe exploration of gene-disease associations is crucial for understanding the mechanisms underlying disease onset and progression, with...
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Untangling the contribution of active and passive group augmentation benefits to the multilevel selection of altruism using a video game
The group augmentation hypothesis states that individuals gain benefits by increasing group size and is rarely studied because it often overlaps with...
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UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues
Upcoming technologies enable routine collection of highly multiplexed (20–60 channel), subcellular resolution images of mammalian tissues for...
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The integration of metabolic and proteomic data uncovers an augmentation of the sphingolipid biosynthesis pathway during T-cell differentiation
Recent studies have highlighted the significance of cellular metabolism in the initiation of clonal expansion and effector differentiation of T...
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Gender specific SNP markers in Coscinium fenestratum (Gaertn.) Colebr. for resource augmentation
BackgroundUnregulated extraction of highly traded medicinal plant species results in drastic decline of the natural resources and alters viable sex...
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Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation
Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging...
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Retinal organoids with X-linked retinoschisis RS1 (E72K) mutation exhibit a photoreceptor developmental delay and are rescued by gene augmentation therapy
BackgroundX-linked juvenile retinoschisis (XLRS) is an inherited disease caused by RS1 gene mutation, which leads to retinal splitting and visual...
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PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation
BackgroundEmerging evidences show that Piwi-interacting RNAs (piRNAs) play a pivotal role in numerous complex human diseases. Identifying potential...
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Current Perspectives and Progress in Preoperative Portal Vein Embolization with Stem Cell Augmentation (PVESA)
Portal vein embolization with stem cell augmentation (PVESA) is an emerging approach for enhancing the growth of the liver segment that will remain...
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MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes
Motivation:Exploring the interrelationships between microbes and disease can help microbiologists make decisions and plan treatments. Predicting new...
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Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images
BackgroundApplying deep learning to digital histopathology is hindered by the scarcity of manually annotated datasets. While data augmentation can...
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Estimation and Inference for Individualized Treatment Rules Using Efficient Augmentation and Relaxation Learning
Individualized treatment rules aim to identify the best strategy—if, when, which, and to whom treatment should be applied, to optimize the health...
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Current Approaches in Vertical Bone Augmentation and Large Bone Deficiencies in the Orofacial Region
Bone regeneration in the orofacial region is a significant health and economic burden. While surgical techniques for the treatment of bone...
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Boric Acid (Boron) Attenuates AOM-Induced Colorectal Cancer in Rats by Augmentation of Apoptotic and Antioxidant Mechanisms
Boric acid (BA) is a naturally occurring weak Lewis acid containing boron, oxygen, and hydrogen elements that can be found in water, soil, and...
