Conference Paper

Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Background: Identifying robust prognostic risk groups of colorectal cancer (CRC) will significantly improve patients’ outcomes. …
DOI
Genome-wide analysis indicating cancer associated fibroblast (CAF) impacts on colorectal cancer (CRC) prognosis via immunosuppression.
Background: Cancer associated fibroblast (CAF) in tumor microenvironment is associated with poor prognosis and chemo-resistance in …
DOI
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
Background: Few robust predictive biomarkers have been applied in clinical practice due to the heterogeneity of metastatic colorectal …
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Integrated immune-related gene signature to predict clinical outcome for patients with luminal B breast cancer.
Background: Luminal B breast cancer is always routinely treated with chemotherapy and endocrine therapy but heterogeneous with respect …
DOI
Multi-omics longitudinal analyses in stages I to III CRC patients: Surveillance liquid biopsy test to predict early recurrence and enable risk-stratified postoperative CRC management.
Background: One-third of colorectal cancer (CRC) recurs following curative surgery and chemotherapy. Accordingly, novel methods are …
DOI
Su029 INTEGRATING PROGNOSIS-RELATED GENES WITH IMMUNE-RELATED GENE SIGNATURE FOR SURVIVAL STRATIFICATION OF EARLY-STAGE COLORECTAL CANCER
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Deep transformers for fast small intestine grounding in capsule endoscope video
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Automatic and interpretable model for periodontitis diagnosis in panoramic radiographs
DOI
Identification of a stemness-related gene signature for predicting prognosis of patients with adjuvant chemotherapy in colorectal cancer
Background
Chemotherapy resistance is one of the major reasons for treatment failure and tumour recurrence in colorectal cancer. Recent …
Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping
Cancer is a heterogeneous disease and consists of multiple molecular subtypes underlying the diverse clinical outcomes. Most strategies …