Publications by authors named "R Fei"
Background: The colorectal cancer mortality rate in China has exceeded that in many developing countries and is expected to further increase owing to multiple factors, including the aging population. However, the optimal policy for colorectal cancer screening is unknown.
Methods: We synthesized the most up-to-date data using a 12-state Markov model populated with a cohort of Chinese men and women born during 1949-1988, and evaluated 16 conventional and 40 risk-tailored schemes for colorectal cancer screening, considering possible combinations of age (starting at 40 + years and ending at 75 years), frequency, and strategy (standard colonoscopy, fecal immunochemical testing with colonoscopy if positive, or risk-tailored).
Gene Regulatory Networks (GRNs) reveal complex interactions between genes in organisms, crucial for understanding the life system's operation. The rapid development of biotechnology, especially single-cell RNA sequencing (scRNA-seq), has generated a large amount of scRNA-seq data, which can be analyzed to explore the regulatory relationships between genes at the single-cell level. Previous models used to construct GRNs mainly aim at constructing associative relationships between genes, but usually fail to accurately reveal the causality between genes.
View Article and Find Full Text PDFArticle Synopsis
- The study focused on developing a specific assay to detect methylated circulating tumor DNA (ctDNA) in the blood of colorectal cancer (CRC) patients to aid in cancer detection and prognosis.
- Researchers confirmed six DNA methylation biomarkers that are hypermethylated in CRC tissues and created a multiplex quantitative PCR assay, achieving a high specificity of 98.2% for detecting CRC.
- The results showed that higher levels of ctDNA were linked to larger tumor sizes and advanced stages of CRC, with elevated preoperative ctDNA levels correlating with poorer survival outcomes.
Tracking the Helicobacter pylori Epidemic in Adults and Children in China.
Helicobacter
September 2024
Background: The Helicobacter pylori epidemic in China accounts for up to a third of gastric cancers worldwide. We aim to monitor the temporal and spatial dynamics of H. pylori infection in both adults and children across China.
View Article and Find Full Text PDFArticle Synopsis
- piRNAs are small non-coding RNAs crucial for gene regulation and have potential as biomarkers and therapeutic targets for diseases, but current methods struggle to identify piRNA-disease associations from limited data.
- A novel method named MRDPDA is proposed, which uses a deep factorization machine model alongside regularizations from multiple limited datasets to improve predictions of piRNA-disease associations.
- MRDPDA outperforms existing methods in tests conducted on the pirpheno dataset, and further case studies confirm its effectiveness in predicting piRNA-disease relationships.