A5101577802- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genomics and Rare Diseases
- Data Visualization and Analytics
- Data Quality and Management
- Topic Modeling
- Identity, Memory, and Therapy
- Anesthesia and Neurotoxicity Research
- Protein Structure and Dynamics
- Child Abuse and Trauma
- Medical and Biological Ozone Research
- Science, Research, and Medicine
- RNA modifications and cancer
- ATP Synthase and ATPases Research
- Machine Learning in Bioinformatics
- Psychological and Temporal Perspectives Research
- Semantic Web and Ontologies
- Video Analysis and Summarization
- Cancer, Hypoxia, and Metabolism
- RNA and protein synthesis mechanisms
- MicroRNA in disease regulation
- Crime Patterns and Interventions
- Child and Adolescent Psychosocial and Emotional Development
- Cell death mechanisms and regulation
- Aging and Gerontology Research
Weifang Chinese Medicine Hospital
2025
University of Pittsburgh
2006-2023
Beijing University of Chinese Medicine
2015
China Agricultural University
2015
The correlation of phenotypic outcomes with genetic variation and environmental factors is a core pursuit in biology biomedicine. Numerous challenges impede our progress: patient phenotypes may not match known diseases, candidate variants be genes that have been characterized, model organisms recapitulate human or veterinary filling evolutionary gaps difficult, many resources must queried to find potentially significant genotype–phenotype associations. Non-human proven instrumental revealing...
A novel computational tool termed SuccinSite has been developed to predict protein succinylation sites using the amino acid patterns and properties based on a random forest classifier.
The principles of genetics apply across the entire tree life. At cellular level we share biological mechanisms with species from which diverged millions, even billions years ago. We can exploit this common ancestry to learn about health and disease, by analyzing DNA protein sequences, but also through observable outcomes genetic differences, i.e. phenotypes. To solve challenging disease problems need unify heterogeneous data that relates genomics traits. Without a big-picture view phenotypic...
The purpose of this study is to analyze the influence three variables-feelings underqualification, self-disgust, and self-efficacy-on work withdrawal behavior, with aim drawing attention mental health nurses. A total 300 nurses were recruited in Shandong Province, China for survey. Participants completed General Information Questionnaire, Perceived Inadequate Qualifications Scale, Work Withdrawal Behavior Self-Disgust Self-Efficacy Scale. potential relationships between these variables...
Abstract The principles of genetics apply across the whole tree life: on a cellular level, we share mechanisms with species from which diverged millions or even billions years ago. We can exploit this common ancestry at level sequences, but also in terms observable outcomes (phenotypes), to learn more about health and disease for humans all other species. Applying range available knowledge solve challenging problems requires unified data relating genomics, phenotypes, disease; it...
Retrospective cancer research requires identification of patients matching both categorical and temporal inclusion criteria, often on the basis factors exclusively available in clinical notes. Although natural language processing approaches for inferring higher-level concepts have shown promise bringing structure to texts, interpreting results is challenging, involving need move between abstracted representations constituent text elements. Our goal was build interactive visual tools support...
The principles of genetics apply across the entire tree life. At cellular level we share biological mechanisms with species from which diverged millions, even billions years ago. We can exploit this common ancestry to learn about health and disease, by analyzing DNA protein sequences, but also through observable outcomes genetic differences, i.e. phenotypes. To solve challenging disease problems need unify heterogeneous data that relates genomics traits. Without a big-picture view phenotypic...
PURPOSE Manual extraction of case details from patient records for cancer surveillance is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed automating the identification key in clinical notes. Our goal was to develop NLP application programming interfaces (APIs) integration into registry data abstraction tools computer-assisted setting. METHODS We used manual processes guide design DeepPhe-CR, web-based service API. The coding variables performed...
Background: Rates of violence in the USA have fluctuated widely over past few decades. Theorists examined period and cohort effects, but there appear to be no studies examining these effects on progression developmental pathways towards violence. Objective: To assess whether differences among individuals Pittsburgh Youth Study are consistent with or effects. Design: Multivariate logistic regression was conducted examine between cohorts odds progressing through pathway Adjusted unadjusted...
The manual extraction of case details from patient records for cancer surveillance efforts is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed automating the identification key in clinical notes. Our goal was to develop NLP application programming interfaces (APIs) integration into registry data abstraction tools computer-assisted setting.
Abstract Retrospective cancer research requires identification of patients matching both categorical and temporal inclusion criteria, often based on factors exclusively available in clinical notes. Although natural language processing approaches for inferring higher-level concepts have shown promise bringing structure to texts, interpreting results is challenging, involving the need move between abstracted representations constituent text elements. We discuss qualitative inquiry into user...