A5011107216- Molecular Biology Techniques and Applications
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Energy Load and Power Forecasting
- Genomics and Phylogenetic Studies
- Grey System Theory Applications
- Corneal surgery and disorders
- Ophthalmology and Visual Impairment Studies
- Extracellular vesicles in disease
- Bioinformatics and Genomic Networks
- Intraocular Surgery and Lenses
- High Altitude and Hypoxia
- Retinal Diseases and Treatments
- RNA modifications and cancer
- Retinopathy of Prematurity Studies
- Diverse Interdisciplinary Research Innovations
- Machine Learning in Bioinformatics
- Genetic Syndromes and Imprinting
- Epigenetics and DNA Methylation
- Glaucoma and retinal disorders
- Cancer-related molecular mechanisms research
Xidian University
2021-2023
Affiliated Eye Hospital of Wenzhou Medical College
2021-2022
Wenzhou Medical University
2021-2022
Shenzhen University
2018-2021
National Clinical Research Center for Digestive Diseases
2021
Purpose: The purpose of this study was to evaluate the interocular differences in choroidal vasculature, choriocapillaris perfusion, and retinal microvascular network, explore their associations with asymmetry axial lengths (ALs) children anisomyopia. Methods: Refractive error, AL, other biometric parameters were measured 70 Using optical coherence tomography (OCT) OCT-angiography, we submacular thickness (ChT), total area (TCA), luminal (LA), stromal (SA), vascularity index (CVI), flow...
High-throughput techniques bring novel tools and also statistical challenges to genomic research. Identifying genes with differential expression between different species is an effective way discover evolutionarily conserved transcriptional responses. To remove systematic variation for a fair comparison, normalization serves as crucial pre-processing step that adjusts the varying sample sequencing depths other confounding technical effects. In this paper, we propose scale based (SCBN) method...
Purpose: Scleral hypoxia is a key factor that induces hypoxia-inducible factor-1α (HIF-1α) upregulation, and this response contributes to myopia progression. Currently, we aim determine if the different HIF subtypes, including HIF-1α HIF-2α, mediate hypoxia-induced development through promoting scleral MMP-2 expression collagen degradation. Methods: Our study included: (1) time-course of MMP-2, COL1α1 during form-deprivation (FDM) was determined in C57BL/6J mice. (2) The effect silencing...
Abstract Background Identifying differentially expressed genes between the same or different species is an urgent demand for biological and medical research. For RNA-seq data, systematic technical effects sequencing depths are usually encountered when conducting experiments. Normalization regarded as essential step in discovery of biologically important changes expression. The present methods involve normalization data with a scaling factor, followed by detection significant genes. However,...
DNA methylation is an essential epigenetic modification involved in regulating the expression of mammalian genomes. A variety experimental approaches to generate genome-wide or whole-genome data have emerged recent years. Methylated immunoprecipitation followed by sequencing (MeDIP-seq) one major tools used studies. However, analyzing this terms accuracy, sensitivity, and speed still remains important challenge. Existing methods, such as BATMAN MEDIPS, analyze MeDIP-seq dividing whole genome...
Next-generation sequencing has emerged as an essential technology for the quantitative analysis of gene expression. In medical research, RNA (RNA-seq) data are commonly used to identify which type disease a patient has. Because discrete nature RNA-seq data, existing statistical methods that have been developed microarray cannot be directly applied data. Existing usually model by distribution, such Poisson, negative binomial, or mixture distribution with point mass at zero and Poisson further...
Cell clustering is a prerequisite for identifying differentially expressed genes (DEGs) in single-cell RNA sequencing (scRNA-seq) data. Obtaining perfect result of central importance subsequent analyses, but not easy. Additionally, the increase cell throughput due to advancement scRNA-seq protocols exacerbates many computational issues, especially regarding method runtime. To address these difficulties, new, accurate, and fast detecting DEGs data needed.Here, we propose minimum enclosing...
Single-cell RNA sequencing (scRNA-seq) has been proven to be an effective technology for investigating the heterogeneity and transcriptome dynamics due single-cell resolution. However, one of major problems data obtained by scRNA-seq is excessive zeros in count matrix, which hinders downstream analysis enormously. Here, we present a method that integrates non-negative matrix factorization transfer learning (NMFTL) impute data. It borrows gene expression information from additional dataset...
Background: High-throughput techniques bring novel tools but also statistical challenges to genomic research. Identifying genes with differential expression between different species is an effective way discover evolutionarily conserved transcriptional responses. To remove systematic variation for a fair comparison, the normalization procedure serves as crucial pre-processing step that adjusts varying sample sequencing depths and other confounding technical effects. Results: In this paper,...
Abstract Background : Cell clustering is a prerequisite for identifying differentiallyexpressed genes (DEGs) in single-cell RNA sequencing (scRNA-seq) data.Obtaining perfect result of central importance subsequentanalyses, but doing so not easy. Additionally, the increase cell throughputdue to advancement scRNA-seq protocols exacerbates many computationalissues, especially regarding method runtime. To address these difficulties, new,accurate, and fast detecting DEGs data needed. Results...
Abstract The grey prediction models of time series are widely used in demand forecasting because only limited data can be to build the and no statistical hypothesis is needed. In this paper, a power Markov model (RGPMM(λ,1,1)) with time-varying parameters proposed. This based on principle “new information priority”, combined rolling mechanism theory, residual error modified further improve accuracy. Compared classic models, new not overcomes inherent defect poor adaptability original data,...