Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion
Identifying the phenotypes and interactions of various cells is the primary objective in cellular heterogeneity dissection. A key step of this methodology is to perform …
Identification of an autophagy-related gene signature for the prediction of prognosis in early-stage colorectal cancer
**Purpose:** A certain number of early-stage colorectal cancer (CRC) patients suffer tumor recurrence after initial curative resection. In this context, an effective prognostic …
Xu-Tao Lin
Cancer-associated fibroblasts impact the clinical outcome and treatment response in colorectal cancer via immune system modulation: a comprehensive genome-wide analysis
**Background:** Cancer-associated fibroblasts (CAFs) in the tumour microenvironment are associated with poor prognosis and chemoresistance in multiple solid tumours. However, there …
Yu-Feng Chen
OCaMIR—a noninvasive, diagnostic signature for early-stage ovarian cancer: a multi-cohort retrospective and prospective study
**Purpose:** Due to the lack of effective screening approaches and early detection biomarkers, ovarian cancer has the highest mortality rates among gynecologic cancers. Herein, we …
Raju Kandimalla
An interpretable computer-aided diagnosis method for periodontitis from panoramic radiographs
Periodontitis is a prevalent and irreversible chronic inflammatory disease both in developed and developing countries, and affects about 20–50% of the global population. The tool …
Haoyang Li
Genome-Wide analysis reveals hypoxic microenvironment is associated with immunosuppression in poor survival of stage II/III colorectal cancer patients
**Background:** Hypoxia is associated with a poorer clinical outcome and resistance to chemotherapy in solid tumors; identifying hypoxic-related colorectal cancer (CRC) and …
Yu-Feng Chen
Predicting treatment response from longitudinal images using multi-task deep learning
Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Current imaging response metrics do not reliably predict the underlying biological response. …
Cheng Jin
A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer
Screening for early-stage disease is vital for reducing colorectal cancer (CRC)-related mortality. Methylation of circulating tumor DNA has been previously used for various types …
Xianrui Wu
Identification of prognostic spatial organization features in colorectal cancer microenvironment using deep learning on histopathology images
**Background:** The ecological diversity in the tumor microenvironment influences cancer progression and clinical outcomes of patients. However, the complexity of cellular and …
Lin Qi