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Rui Jiang
Associate Professor
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
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