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Ning Chen
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StackVAE-G: An efficient and interpretable model for time series anomaly detection
Automatic emergency diagnosis with knowledge-based tree decoding
kldm: Inferring multiple metagenomic association networks based on the variation of environmental factors
redPATH: reconstructing the pseudo development time of cell lineages in single-cell RNA-seq data and applications in cancer
Responses of cyanobacterial aggregate microbial communities to algal blooms
Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study
Ambient fine particulate matter and hospital admissions for ischemic and hemorrhagic strokes and transient ischemic attack in 248 Chinese cities
Joint Medical Ontology Representation Learning for Healthcare Predictions
Alternate succession of aggregate-forming cyanobacterial genera correlated with their attached bacteria by co-pathways
Bone age assessment by deep convolutional neural networks combined with clinical TW3-RUS
Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection
Dcmn: Double core memory network for patient outcome prediction with multimodal data
Deeptriager: A neural attention model for emergency triage with electronic health records
How Robust is Your Automatic Diagnosis Model?
Dropout training for SVMs with data augmentation
Ontology-based venous thromboembolism risk factors mining and model developing from medical records
Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding
DACE: a scalable DP-means algorithm for clustering extremely large sequence data
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding
Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
DeepEnhancer: predicting enhancers by convolutional neural networks
mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery
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