Latest

• Characteristics and Admission Preferences of Pediatric Emergency Patients and Their Waiting Time Prediction Using Electronic Medical Record Data: Retrospective Comparative Analysis
• Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames
• Determine independent gut microbiota-diseases association by eliminating the effects of human lifestyle factors
• Responses of cyanobacterial aggregate microbial communities to algal blooms
• GePMI: A statistical model for personal intestinal microbiome identification
• Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning
• Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding
• Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes
• Leveraging multiple genomic data to prioritize disease-causing indels from exome sequencing data
• Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
• Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks
• DeepEnhancer: predicting enhancers by convolutional neural networks
• Global inference of disease-causing single nucleotide variants from exome sequencing data
• Whole genome sequencing and its applications in medical genetics
• Prioritization of nonsynonymous single nucleotide variants for exome sequencing studies via integrative learning on multiple genomic data
• Constructing a Boolean implication network to study the interactions between environmental factors and OTUs
• PyroHMMsnp: an SNP caller for Ion Torrent and 454 sequencing data
• PyroHMMvar: a sensitive and accurate method to call short indels and SNPs for Ion Torrent and 454 data
• Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome
• Clustering 16S rRNA for OTU prediction: a method of unsupervised Bayesian clustering
• Bayesian models and Gibbs sampling strategies for local graph alignment and motif identification in stochastic biological networks
• Sequence-based prioritization of nonsynonymous single-nucleotide polymorphisms for the study of disease mutations
• Network motif identification in stochastic networks
• Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy