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Investigation of factors that induce activities in green spaces of neighborhoods from the perspective of the behavioral change stage model using machine learning
This study employed machine learning to generate hypotheses about the factors (and their combinations) that induce activities in green spaces in...
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MCRWR: a new method to measure the similarity of documents based on semantic network
BackgroundBesides Boolean retrieval with medical subject headings (MeSH), PubMed provides users with an alternative way called “Related Articles” to...
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A novel multiple kernel fuzzy topic modeling technique for biomedical data
BackgroundText mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data...
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Evidence for a competitive relationship between executive functions and statistical learning
The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to...
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MIRA: joint regulatory modeling of multimodal expression and chromatin accessibility in single cells
Rigorously comparing gene expression and chromatin accessibility in the same single cells could illuminate the logic of how coupling or decoupling of...
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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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MultiVI: deep generative model for the integration of multimodal data
Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of single cells offers a powerful way to study cellular...
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DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing
BackgroundDrug repurposing is an approach that holds promise for identifying new therapeutic uses for existing drugs. Recently, knowledge graphs have...
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Bayesian stroke modeling details sex biases in the white matter substrates of aphasia
Ischemic cerebrovascular events often lead to aphasia. Previous work provided hints that such strokes may affect women and men in distinct ways....
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BindVAE: Dirichlet variational autoencoders for de novo motif discovery from accessible chromatin
We present a novel unsupervised deep learning approach called BindVAE, based on Dirichlet variational autoencoders, for jointly decoding multiple TF...
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BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network
BackgroundAn increasing number of studies have shown that lncRNAs are crucial for the control of hormones and the regulation of various physiological...
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Dyport: dynamic importance-based biomedical hypothesis generation benchmarking technique
BackgroundAutomated hypothesis generation (HG) focuses on uncovering hidden connections within the extensive information that is publicly available....
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Analysis of single-cell RNA sequencing data based on autoencoders
BackgroundSingle-cell RNA sequencing (scRNA-Seq) experiments are gaining ground to study the molecular processes that drive normal development as...
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Perplexity: evaluating transcript abundance estimation in the absence of ground truth
BackgroundThere has been rapid development of probabilistic models and inference methods for transcript abundance estimation from RNA-seq data. These...
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scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Despite the continued efforts, a batch-insensitive tool that can both infer and predict the developmental dynamics using single-cell genomics is...
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Multi-agent Neural-Like Models for the Integration of Multimodal Medical Examination Data
In the present paper, we explore the possibility of creating a uniform approach to form a factual representation for health information on the basis...
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Single-Cell Analysis of the Transcriptome and Epigenome
Epigenome regulation has emerged as an important mechanism for the maintenance of organ function in health and disease. Dissecting epigenomic...
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SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Multi-omic single-cell technologies, which simultaneously measure the transcriptional and epigenomic state of the same cell, enable understanding...
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Hierarchical non-negative matrix factorization using clinical information for microbial communities
BackgroundThe human microbiome forms very complex communities that consist of hundreds to thousands of different microorganisms that not only affect...
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Socioeconomic status, lifestyle and risk of incident dementia: a prospective cohort study of 276730 participants
Healthy lifestyle might alleviate the socioeconomic inequities in health, but the extent of the joint and interactive effects of these two factors on...
