A5026630339- scientometrics and bibliometrics research
- Topic Modeling
- Single-cell and spatial transcriptomics
- Computational Drug Discovery Methods
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Advanced Decision-Making Techniques
- Advanced Text Analysis Techniques
- Genomics and Chromatin Dynamics
- Pharmacogenetics and Drug Metabolism
- Cancer-related gene regulation
- Complex Network Analysis Techniques
- Mental Health Research Topics
- Immune Response and Inflammation
- Misinformation and Its Impacts
- Epigenetics and DNA Methylation
- Mental Health via Writing
- Machine Learning in Healthcare
- Intellectual Capital and Performance Analysis
- Advanced Numerical Analysis Techniques
- Academic Publishing and Open Access
- Computational and Text Analysis Methods
- Military Defense Systems Analysis
- Online Learning and Analytics
Soochow University
2022-2024
Shenzhen Polytechnic
2022-2024
GlaxoSmithKline (United States)
2010-2022
The Ohio State University
2020-2022
Yonsei University
2019-2021
Xiangtan University
2021
Kunming University of Science and Technology
2020
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine
2020
Xi'an Institute of Optics and Precision Mechanics
2020
North China Electric Power University
2017
Abstract Background E-mental healthcare is the convergence of digital technologies with mental health services. It has been developed to fill a gap in for people who need wellbeing support that may not otherwise receive psychological treatment. With an increasing number e-mental and research, this study aimed investigate trends research field integrates interdisciplinary fields examine information being used healthcare. To achieve objectives, bibliometric analysis, extraction, network...
Epoxyeicosatrienoic acids (EETs) are signaling lipids produced by cytochrome P450 epoxygenation of arachidonic acid, which metabolized EPHX2 (epoxide hydrolase 2, alias soluble epoxide or sEH). EETs have pleiotropic effects, including anti-inflammatory activity. Using a Connectivity Map (CMAP) approach, we identified an inverse-correlation between exemplar inhibitor (EPHX2i) compound response and inflammatory bowel disease patient-derived signature. To validate the gene-disease link, tested...
<h3>Objectives</h3> Recently, several studies documented that de novo mutations (DNMs) play important roles in the aetiology of sporadic diseases. Next-generation sequencing (NGS) enables variant calling at single-base resolution on a genome-wide scale. However, accurate identification DNMs from NGS data still remains major challenge. We developed mirTrios, web server, to accurately detect and rare inherited <h3>Methods</h3> The expectation-maximisation (EM) model was adopted identify call...
Rheumatoid arthritis (RA) is a chronic, inflammatory autoimmune disease marked by joint destruction and functional impairment. Tumor necrosis factor (TNF) plays critical role in RA pathogenesis. Although TNF-targeting drugs are clinically effective, their need for frequent long-term administration often results poor patient adherence suboptimal outcomes. This study developed gene therapy approach using engineered adeno-associated virus (AAV) vectors to deliver an anti-TNF agent directly into...
Epigenetic regulation by histone methylation is crucial for proper programming of the genome during development. Homeostasis balanced activities methyltransferases and demethylases. Although these demethylases represent logical targets potential drug discovery, regulated in response to a complex biological stimulus are also important not yet clear. To manipulate study systems, we screened Biologically Diverse Compound Set (BDCS) utilizing phenotypic assay system that directly measures...
With cloud computing, a cycle of fault diagnosis and recovery becomes the norm. There is large amount monitoring data log events available, but it hard to figure out which or metrics are critical in diagnosis. Other approaches model faults as deviation from normal behaviors, thus less applicable where changes environment may impact what considered normal. In this work, we propose an adaptive flexible framework automatically identify key indicators detect patterns. Leveraging ideas social...
The prevalence of dropout events is a serious problem for single-cell Hi-C (scHiC) data due to insufficient sequencing depth and coverage, which brings difficulties in downstream studies such as clustering structural analysis. Complicating things further the fact that dropouts are confounded with zeros underlying properties, leading observed being mixture both types events. Although great deal progress has been made imputing single cell RNA-sequencing (RNA-seq) data, little done identifying...
Laser scanning technology makes it easy to obtain high accuracy and speed of the surface part model information. The amount data generated is enormous, therefore need be streamlined. Based on reverse engineering point cloud pretreatment, analyzes existing streamline method, this paper puts forward a kind insufficient based spatial octree non-uniform grid combining neighborhood search algorithm. By record division process, thus make method are confined sampling bounding box around where box....
Extracting useful information from biomedical literature plays an important role in the development of modern medicine. In natural language processing, there have been rigorous attempts to find meaningful relationships between entities automatically by co-occurrence-based methods. It has increasingly understand whether exist, and if so how strong, any two extracted a large number texts. One defining methods is measure semantic similarity relatedness entities.We propose hybrid ranking method...
In recent years, Traditional Chinese Medicine (TCM) and alternative medicine have been widely used along with western drugs as a complementary form of treatment. this study, we first use the scientific literature to identify obvious side effects. Then, find TCM alternatives for these ameliorate their effects.We depression case study. To evaluate our method, showed relation between herb-ingredients-target-disease representative herbs drugs. Further, protein-protein interaction network was...
Single cell Hi-C techniques enable one to study variability in chromatin interactions. However, single (scHi-C) data suffer severely from sparsity, that is, the existence of excess zeros due insufficient sequencing depth. Complicating matter further is fact not all are created equal: some loci truly interacting because underlying biological mechanism (structural zeros); others indeed depth (sampling or dropouts), especially for interact infrequently. Differentiating between structural and...
The global prevalence of inflammatory bowel disease (IBD) is increasing, and mucosal healing the preferred treatment target IBD. Sodium (aS,9 R)- 3-hydroxy-16,17-dimethoxy-15-oxidotricyclo[12.3.1.12,6]nonadeca-1(18),2,4,6(19),14,16-hexene-9-yl sulfate hydrate (SDH) a novel diarylheptane compound, which designed to treat Hence, we investigated potent therapeutic activity SDH against IBD explored underlying mechanisms, determined if safe well-tolerated oral for treatment.We characterized its...