A5100861711- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Gene expression and cancer classification
- Thyroid Disorders and Treatments
- Selenium in Biological Systems
- Mercury impact and mitigation studies
- Genetic Associations and Epidemiology
- Head and Neck Cancer Studies
- Circular RNAs in diseases
- Genomic variations and chromosomal abnormalities
- Cancer Diagnosis and Treatment
- Environmental Toxicology and Ecotoxicology
- Radiomics and Machine Learning in Medical Imaging
- Genetics and Plant Breeding
- Regulation of Appetite and Obesity
- Aquaculture disease management and microbiota
- Chromosomal and Genetic Variations
- Advanced Graph Neural Networks
- Animal Nutrition and Physiology
- Cancer-related molecular mechanisms research
- Growth Hormone and Insulin-like Growth Factors
- Neural Networks and Applications
- Machine Learning and ELM
- Mosquito-borne diseases and control
- MicroRNA in disease regulation
First Affiliated Hospital of Xi'an Jiaotong University
2024
Westlake University
2024
Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences
2024
Affiliated Zhongshan Hospital of Dalian University
2023
Northeast Agricultural University
2014-2022
Chinese Academy of Fishery Sciences
2021
National University of Singapore
2005
Thymocyte development requires precise control of PI3K-Akt signaling to promote proliferation and prevent leukemia autoimmune disorders. Here, we show that ablating individual clusters the miR-17∼92 family has a negligible effect on thymocyte development, while deleting entire severely impairs reduces thymic cellularity, phenocopying genetic deletion Dicer. Mechanistically, expression is induced by Myc-mediated pre-T cell receptor (TCR) signaling, promotes suppressing translation Pten....
Graphs with heterophily have been regarded as challenging scenarios for Graph Neural Networks (GNNs), where nodes are connected dissimilar neighbors through various patterns. In this paper, we present theoretical understandings of the impacts different patterns GNNs by incorporating graph convolution (GC) operations into fully networks via proposed Heterophilous Stochastic Block Models (HSBM), a general random model that can accommodate diverse Firstly, show applying GC operation,...
Background Thyroid stimulating hormone (TSH) has been proven to be closely associated with metabolic abnormalities, including obesity. The objective of this investigation was scrutinize the intricate association between TSH concentration and obesity, within adult population. study focused on a comprehensive examination relationship, delving into specific adiposity parameters such as total percent fat (TPF), android (APF), gynoid (GPF). Methods This included 809 participants aged 20 above...
Abstract Complex computation and approximate solution hinder the application of generalized linear mixed models (GLMM) into genome-wide association studies. We extended GRAMMAR to handle binary diseases by considering genomic breeding values (GBVs) estimated in advance as a known predictor logit regression, then reduced polygenic effects regulating downward heritability control false negative errors produced tests. Using simulations case analyses, we showed optimizing GRAMMAR, controls could...
Abstract Background: Copy number variations (CNVs) are important structural that can cause significant phenotypic diversity. Reliable CNVs mapping be achieved by identification of from different genetic backgrounds. Investigations on the characteristics overlapping CNV regions (CNVRs) between protein-coding genes (CNV genes) and miRNAs (CNV-miRNAs) reveal potential mechanisms their regulation. Results: In this study, we used 55K SNP arrays to detect in Duroc purebred pig. A total 211 CNVRs...
Abstract In genome-wide association analysis (GWAS) for binary traits, we stratified the genomic generalized linear mixed model (GLMM) into two hierarchies—the GLMM regarding breeding values (GBVs) and a regression of normally distributed GBVs to tested marker effects. first hierarchy, were predicted by solving best unbiased prediction with estimated variance components or heritability in advance, second tests performed using least square (GLS) method GBVs. Like Hi-LMM regular quantitative...