A5082410613- Ferroptosis and cancer prognosis
- Glioma Diagnosis and Treatment
- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- Rough Sets and Fuzzy Logic
- RNA Research and Splicing
- MicroRNA in disease regulation
- Face and Expression Recognition
- Fuzzy Logic and Control Systems
- Ubiquitin and proteasome pathways
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Radiomics and Machine Learning in Medical Imaging
- interferon and immune responses
- Immune cells in cancer
- Neural Networks and Applications
- Angiogenesis and VEGF in Cancer
- Advanced Image Fusion Techniques
- Cancer Mechanisms and Therapy
- Extracellular vesicles in disease
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Cell Adhesion Molecules Research
- Cytokine Signaling Pathways and Interactions
Chinese Academy of Medical Sciences & Peking Union Medical College
2025
Xuzhou Central Hospital
2024
Changshu No.1 People's Hospital
2024
Chongqing University of Posts and Telecommunications
2023-2024
Nanjing University of Posts and Telecommunications
2022
Henan Provincial People's Hospital
2020-2022
Zhengzhou University
2020-2022
University of Nottingham Ningbo China
2022
Henan University
2020-2021
First Affiliated Hospital of Jiamusi University
2006-2021
Fuzzy rough set theory is effective for processing datasets with complex attributes, supported by a solid mathematical foundation and closely linked to kernel methods in machine learning. Attribute reduction algorithms classifiers based on fuzzy exhibit promising performance the analysis of high-dimensional multivariate data. However, most existing models operate at finest granularity, rendering them inefficient sensitive noise, especially big Thus, enhancing robustness crucial feature...
In recent years, studies have revealed HOXA2 as a new oncogene, but its function is unknown in gliomas. We aimed to reveal the relationship between and glioma based on Chinese Glioma Genome Atlas(CGGA) cancer genome atlas (TCGA). expression data clinically relevant information of patients were obtained from CGGA TCGA containing 1447 tissues five non-tumor brain tissues. The Wilcox or Kruskal tests used detect correlation level clinical patients. Kaplan–Meier method examine overall patient...
Indoleamine 2,3-dioxygenase 1 (IDO1) plays an anti-inflammatory role in autoimmune disease. However, its specific function ankylosing spondylitis (AS) remain unclear. This study aimed to investigate the potential of IDO1 AS. Immunofluorescence, RT-qPCR, and western blot assays were employed measure gene expression, while ELISA was used quantify release M1 macrophage M2 markers. CCK-8, EdU, flow cytometry, ALP staining, Alizarin red staining (ARS) conducted for functional analysis. JASPAR...
Studies have indicated that collagen α‑1 (IV) chain (COL4A1) has an indispensable regulatory role in the complex pathological mechanisms of numerous types malignant tumor. However, its development glioma remained elusive. Therefore, present study sought to determine association between expression levels COL4A1 and clinical characteristics gliomas by analyzing large samples. First, analysis thousands tissue samples collected from Gene profiling interactive analysis, Expression Omnibus...
Research has confirmed that extra spindle pole bodies-like 1 (ESPL1), an etiological factor, promotes the malignant progression of cancers. However, relationship between ESPL1 and glioma not yet been demonstrated. The purpose this study was to reveal potential mechanisms ESPL1-mediated progression. Gene expression data detailed clinical information cases were obtained from multiple public databases. Subsequently, a series bioinformatics analyses used elucidate effects on glioma. results...
Abstract Background GINS4 , an indispensable component of the GINS complex, is vital for a variety cancer. However, no known empirical research has focused on exploring relationships between and glioma. Thus, this study aims to understand explain role in Method First, we used data CGGA, TCGA, GEO, GEPIA, HPA databases explore expression level glioma, correlation clinical features its impact survival glioma patients, verified analysis results through RT-qPCR, IHC, meta-analysis. Subsequently,...
Purpose GNG12 influences a variety of tumors; however, its relationship with glioma remains unclear. The aim this study was to comprehensively investigate the between and clinical characteristics prognosis patients reveal mechanisms causing malignant process GNG12. Materials Methods We obtained information on samples from multiple databases. expression level validated using RT-qPCR IHC. KM curves were used assess correlation OS patients. An ROC curve drawn predictive performance Univariate...
ETS transcription factor ELK3 (ELK3), a novel oncogene, affects pathological processes and progression of many cancers in human tissues. However, it remains unclear whether ELK3, as key gene, the process gliomas prognosis patients with gliomas. This study aimed to comprehensively systematically reveal correlation between malignant by analyzing clinical sample information stored multiple databases. We revealed putative mechanism involvement identified new efficient biomarker for glioma...
Gliomas, particularly the advanced grade glioblastomas, have poor 5-year survival rates and worse outcomes. lncRNAs EMT been extensively studied in gliomas but disease progression remains poorly understood. SNHG6 has shown to affect glioma cell proliferation its effect on of cells along with is not known. We screened four lines; H4, A172, U87MG, SW088 grouped them based high vs. low expression. Transfections specific siRNA resulted induction apoptosis expressing A172 U87MG cells. This was...
Homeobox D11 (HOXD11) plays an important role in a variety of cancers, but its precise gliomas remains unclear. This study aimed to explore the relationship between HOXD11 and by combining bioinformatics methods with basic experimental validation.Obtain gene expression information clinical glioma non-tumor brain tissue samples from multiple public databases such as TCGA (666 samples), CGGA (749 GEPIA(163 glioblastoma 207 normal control GEO (GSE4290 GSE15824). Nine cases five were collected...
The undetectable onset of glioma and the difficulty surgery lead to a poor prognosis. Appropriate biomarkers for diagnosis treatment need be identified. Interleukin‑1 receptor‑associated kinase 4 (IRAK4) is involved in initiation progression cancer. However, up until now, no report has revealed relationship between IRAK4 glioma. present study aimed examine expression glioma, determine if there was clinical outcomes or survival Thousands tissue samples corresponding information were obtained...
HOXA4 is a novel oncogene that has been observed in many kinds of tumors, but its role during glioma carcinogenesis and clinical significance diagnosing prognosis human remains unknown. In the present study, Chinese Glioma Atlas (CGGA)-RNA sequencing database, CGGA microarray, The Cancer Genome (TCGA)-RNA seq data from 1674 patients were obtained online databases analyzed using quantitative reverse transcription-polymerase chain reaction (RT-qPCR) to detect changes expression level...
Abstract Background The carcinogenic effect of NUP37 has been reported recently in a variety tumors, but its research the field glioma not paid attention. main purpose this study is to reveal relationship between and prognosis or clinical characteristics patients. Methods First, as retrospective study, included thousands tissue samples based on public databases clinicopathological tissues. Second, series bioinformatics analysis methods were used analyze from multiple such CGGA, TCGA, GEO,...
Granular-ball support vector machine (GBSVM) is a significant attempt to construct classifier using the coarse-to-fine granularity of granular ball as input, rather than single data point. It first whose input contains no points. However, existing model has some errors, and its dual not been derived. As result, current algorithm cannot be implemented or applied. To address these problems, we fix errors original GBSVM derive model. Furthermore, particle swarm optimization (PSO) designed solve...
This study evaluates the effects of elemental mercury on inflammation, oxidative stress, and myocardial injury in B6 mice, with a focus neutrophil degranulation TNF-alpha inflammatory pathways. Using controlled exposures, research assesses changes reactive oxygen species (ROS), elastase (NE), levels, correlating these biomarkers histological evidence injury. Findings indicate that exposure induces dose-dependent increases markers, similar to other heavy metals like lead, potentially...
Naive Bayes has been widely used in many applications because of its simplicity and ability handling both numerical data categorical data. However, lack modeling correlations between features limits performance. In addition, noise outliers the real-world dataset also greatly degrade classification this paper, we propose a feature augmentation method employing stack auto-encoder to reduce boost discriminant power naive Bayes. The proposed consists two auto-encoders for different purposes....