A5081774245- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- Fault Detection and Control Systems
- Genetic and phenotypic traits in livestock
- Financial Reporting and Valuation Research
- Kidney Stones and Urolithiasis Treatments
- Financial Markets and Investment Strategies
- Genomic variations and chromosomal abnormalities
- Anomaly Detection Techniques and Applications
- Stock Market Forecasting Methods
- Genetic Mapping and Diversity in Plants and Animals
- Embedded Systems Design Techniques
- Pediatric Urology and Nephrology Studies
- Ureteral procedures and complications
Shanghai Advanced Research Institute
2025
Chinese Academy of Sciences
2025
Chinese University of Hong Kong, Shenzhen
2022
Fujian Petrochemical Group (China)
2022
University of Nebraska–Lincoln
2018-2019
Abstract Background The retrospective observational study aimed to evaluate the safety and efficacy of suctioning flexible ureteroscopy with Intelligent pressure-control (SFUI) on treating upper urinary tract calculi in a large cohort. Methods Between July 2020 August 2021, 278 patients who underwent SFUI our hospital were enrolled. Outcomes stone-free rate (SFR) one session one-month after treatment, complications scored by Clavien-Dindo classification. Results A total 310 kidneys included....
Various gene network models with distinct physical nature have been widely used in biological studies. For temporal transcriptomic studies, the current dynamic either ignore variation structure or fail to scale up a large number of genes due severe computational bottlenecks and sample size limitation. Although correlation-based networks are computationally affordable, they limitations after being applied expression time-course data. We proposed Temporal Gene Coexpression Network Analysis...
Abstract Various gene network models with distinct physical nature have been widely used in biological studies. For temporal transcriptomic studies, the current dynamic either ignore variation structure or fail to scale up a large number of genes due severe computational bottlenecks and sample size limitation. On other hand, correlation-based networks are more computationally affordable, but not properly extended expression time-course data. We propose Temporal Gene Coexpression Network...
Hi-C experiments have become very popular for studying the 3D genome structure in recent years. Identification of long-range chromosomal interaction, i.e., peak detection, is crucial data analysis. But it remains a challenging task due to inherent high dimensionality, sparsity and over-dispersion count matrix. We propose EBHiC, an empirical Bayes approach detection from data. The proposed framework provides flexible modeling by explicitly including 'true' interaction intensities as latent...
The purpose of this study is to use Markowitz model and Single-factor index determine the optimal portfolio S&P 500 6 stocks from 3 industries under 5 different constraints. research looked at stock prices on a daily basis January 2000 December 2020 all data were obtained secondary sources or non-participatory observation methods. Then paper also considers sensitive analysis investigate impacts factors. sensitivity tool used in was Solver Table. Through calculation, ratio, minimum risk...
Hi-C experiments have become very popular for studying the 3D genome structure in recent years. Identification of long-range chromosomal interaction, i.e., peak detection, is crucial data analysis. But it remains a challenging task due to inherent high dimensionality, sparsity and over-dispersion count matrix. We propose EBHiC, an empirical Bayes approach detection from data. The proposed framework provides flexible modeling by explicitly including "true" interaction intensities as latent...