Area of research
Pulmonary and Respiratory Medicine · Statistics and Probability
Research interest
Research interests include Ovarian cancer, Computer science, Metabolomics, Medicine, Chemistry, and Oncology.
A bidirectional interpretable compound-protein interaction prediction framework based on cross attention
E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image
MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data
Improving ovarian cancer treatment decision using a novel risk predictive tool
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening
WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch information
Comparative and quantitative analysis of COVID-19 epidemic interventions in Chinese provinces
NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data
Identification immunophenotyping of lung adenocarcinomas based on the tumor microenvironment
<p>Mediation Analysis Reveals Potential Biological Mechanism of Ascites Influencing Recurrence in Patients with Epithelial Ovarian Cancer</p>
Metabolic phenotyping to monitor chronic enteritis canceration
Methylation Biomarkers with Discriminating Ability are Potential Therapeutic Targets in Lung Adenocarcinoma
WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis
An immunophenotyping of renal clear cell carcinoma with characteristics and a potential therapeutic target for patients insensitive to immune checkpoint blockade
Integrative prognostic subtype discovery in high‐grade serous ovarian cancer
Platelet‐derived growth factor‐D expression mediates the effect of differentiated degree on prognosis in epithelial ovarian cancer
Development of a Correlative Strategy To Discover Colorectal Tumor Tissue Derived Metabolite Biomarkers in Plasma Using Untargeted Metabolomics
Plasma metabolomic profiling distinguishes right-sided from left-sided colon cancer
An Immunophenotyping of Ovarian Cancer With Clinical and Immunological Significance
Single-gene prognostic signatures for advanced stage serous ovarian cancer based on 1257 patient samples
Identification of pathway‐based recurrence‐associated signatures in optimally debulked patients with serous ovarian cancer
Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
Erratum: Identification of a six-lncRNA signature associated with recurrence of ovarian cancer