已发表成果:
WOK 论文 45 篇;中文核心 1 篇;
Lymphatic-localized Treg-mregDC crosstalk limits antigen trafficking and restrains anti-tumor
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
ConTIG: Continuous representation learning on temporal interaction graphs
FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
cgMSI: pathogen detection within species from nanopore metagenomic sequencing data
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor
Dear-DIAXMBD: Deep Autoencoder Enables Deconvolution of Data-Independent Acquisition Proteomics
Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer
Opioid-induced fragile-like regulatory T cells contribute to withdrawal
Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction
Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction
Multi-omics signature for identification of RAS wild-type colorectal cancer liver metastases sensitive to anti-EGFR therapy
Fedave: Adaptive Data Value Evaluation Framework for Collaborative Fairness in Federated Learning
H2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis
A downsampling method enables robust clustering and integration of single-cell transcriptome data
Deepfakes: A new threat to image fabrication in scientific publications?
Application of individualized differential expression analysis in human cancer proteome
Open Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop
DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks
Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification
Deep representation features from DreamDIA(XMBD) improve the analysis of data-independent acquisition proteomics
Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry
Snipe: highly sensitive pathogen detection from metagenomic sequencing data
Genetic Determinants of Somatic Selection of Mutational Processes in 3,566 Human Cancers
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation
Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasets
Comparison of high-throughput single-cell RNA sequencing data processing pipelines
Ratio of the interferon-gamma signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma
Diamond: a multi-modal DIA mass spectrometry data processing pipeline
Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images
Federated Learning with Fair Averaging
ScSparkXMBD: High-Performance scRNA-seq Data Processing with Spark
A machine learning framework to determine geolocations from metagenomic profiling
Specific TP53 subtype as biomarker for immune checkpoint inhibitors in lung adenocarcinoma
ScaleQC: a scalable lossy to lossless solution for NGS data compression
Performance evaluation of lossy quality compression algorithms for RNA-seq data
A novel approach combined transfer learning and deep learning to predict TMB from histology image
UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for Salmonella enterica
Performance Evaluation of IMP: A Rapid Secondary Analysis Pipeline for NGS Data
Improving Coding Efficiency of MPEG-G Standard Using Context-Based Arithmetic Coding
Predicting ICU mortality from heterogeneous clinical events with prior medical knowledge
基于SEIR-LSTM混合模型的新型冠状病毒肺炎传播趋势分析与预测
厦门大学学报(自然科学版),0438-0479,2020-11-28.