A5101865072- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- RNA Research and Splicing
- Gene expression and cancer classification
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Molecular Biology Techniques and Applications
- Bayesian Modeling and Causal Inference
- Birth, Development, and Health
- Face and Expression Recognition
- Machine Learning and Data Classification
- Bioinformatics and Genomic Networks
- Nutrition, Genetics, and Disease
- International Student and Expatriate Challenges
- Migration, Ethnicity, and Economy
- Pluripotent Stem Cells Research
- Genetic and phenotypic traits in livestock
- Image Retrieval and Classification Techniques
- Genomics and Rare Diseases
- Mesenchymal stem cell research
- BRCA gene mutations in cancer
- Advanced Image and Video Retrieval Techniques
- International Business and FDI
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
Regeneron (United States)
2023
Eastern Hepatobiliary Surgery Hospital
2022
Second Military Medical University
2022
The University of Texas Health Science Center at Houston
2015-2018
The Mexico City Prospective Study is a prospective cohort of more than 150,000 adults recruited two decades ago from the urban districts Coyoacán and Iztapalapa in
Background Cardiometabolic diseases are highly comorbid, but their relationship with female-specific or overwhelmingly female-predominant health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. This study aimed to estimate the cross-trait genetic overlap and influence of burden cardiometabolic traits on unique women. Methods Results Using electronic record data from 71 008 ancestrally diverse women, we examined relationships between 23...
Due to the advancement in sensor technology, growing large medical image data have ability visualize anatomical changes biological tissues. As a consequence, images potential enhance diagnosis of disease, prediction clinical outcomes and characterization disease progression. But meantime, dimensions pose great methodological computational challenges for representation selection features cluster analysis. To address these challenges, we first extend functional principal component analysis...
The mainstream of research in genetics, epigenetics, and imaging data analysis focuses on statistical association or exploring dependence between variables. Despite their significant progresses genetic research, understanding the etiology mechanism complex phenotypes remains elusive. Using as a major analytical platform for is key issue that hampers theoretic development genomic science its application practice. Causal inference an essential component discovery mechanical relationships among...
Mesenchymal stem cells (MSCs) have a variety of unique properties, such as cell multipotency and immune regulation, making them attractive for use in therapy. Before infusion therapy, MSCs are required to undergo tissue separation, purification, expansion vitro certain duration. During the process MSCs, influence culture time environment can lead senescence, increased heterogeneity, function attenuation, which limits their clinical applications. We used cocktail three small-molecule...
Investigating the pleiotropic effects of genetic variants can increase statistical power, provide important information to achieve deep understanding complex structures disease, and offer powerful tools for designing effective treatments with fewer side effects. However, current multiple phenotype association analysis paradigm lacks breadth (number phenotypes jointly analyzed at same time) depth (hierarchical structure genotypes). A key issue high dimensional is effectively extract...
Emerging integrative analysis of genomic and anatomical imaging data which has not been well developed, provides invaluable information for the holistic discovery structure disease potential to open a new avenue discovering novel susceptibility genes cannot be identified if they are analyzed separately. A key issue success is how reduce their dimensions. Most previous methods extraction RNA-seq reduction do explore spatial often ignore gene expression variation at positional level. To...
Emerging integrative analysis of genomic and anatomical imaging data which has not been well developed, provides invaluable information for the holistic discovery structure disease potential to open a new avenue discovering novel susceptibility genes cannot be identified if they are analyzed separately. A key issue success is how reduce their dimensions. Most previous methods extraction RNA‐seq reduction do explore spatial often ignore gene expression variation at positional level. To...
The mainstream of research in genetics, epigenetics and imaging data analysis focuses on statistical association or exploring dependence between variables. Despite their significant progresses genetic research, understanding the etiology mechanism complex phenotypes remains elusive. Using as a major analytical platform for is key issue that hampers theoretic development genomic science its application practice. Causal inference an essential component discovery mechanical relationships among...