A5103275459- Advanced Proteomics Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Ferroptosis and cancer prognosis
- Molecular Biology Techniques and Applications
- Natural Language Processing Techniques
- Epigenetics and DNA Methylation
- Metabolomics and Mass Spectrometry Studies
- Advanced Text Analysis Techniques
- RNA modifications and cancer
- Cancer-related cognitive impairment studies
- Peptidase Inhibition and Analysis
- Semantic Web and Ontologies
- Topic Modeling
- Cannabis and Cannabinoid Research
- Gene expression and cancer classification
- Autophagy in Disease and Therapy
- Electronic Health Records Systems
- Cancer survivorship and care
- Bioinformatics and Genomic Networks
- Cancer Genomics and Diagnostics
- Biomedical Text Mining and Ontologies
- Tryptophan and brain disorders
- Advanced biosensing and bioanalysis techniques
- Cancer, Lipids, and Metabolism
- Microfluidic and Capillary Electrophoresis Applications
Jiangnan University
2025
Zhejiang University
2000-2015
Sir Run Run Shaw Hospital
2013
Xiamen University
2010-2012
A LC−MS based method, which utilizes both reversed-performance (RP) chromatography and hydrophilic interaction (HILIC) separations, has been carried out in conjunction with multivariate data analysis to discriminate the global serum profiles of renal cell carcinoma (RCC) patients healthy controls. The HILIC was found necessary for a comprehensive metabonomic profiling as well RP separation. feasibility using metabonomics diagnosis staging RCC evaluated. One-hundred percent sensitivity...
Bladder cancer (BC) and kidney (KC) are the first two commonly occurring genitourinary cancers in China. In this study, a comprehensive LC-MS-based method, which utilizes both reversed phase liquid chromatography (RPLC) hydrophilic interaction (HILIC) separations, has been carried out conjunction with multivariate data analysis to discriminate global serum profiles of BC, KC, noncancer controls. An independent test set consisting different patients used objectively evaluate predictive...
Background: Depressive symptoms (DepS) are prevalent among patients with breast cancer. Offering an anti-inflammatory diet is a promising strategy for DepS management, but it costly and difficult to scale up. Instead, dietary education cost-effective may be more conducive the promotion of strategy. Methods: A prospective, assessor-blinded, two-arm randomized controlled trial was designed determine effects 12-week on in cancer depression. Adult female depression receiving adjuvant...
Several large-scale human cancer genomics projects such as TCGA offered huge genomic and clinical data for researchers to obtain meaningful alterations which intervene in the development metastasis of tumor. A web-based analysis platform called TCGA4U was developed this study. provides a visualization solution study illustrate relationship these alternations with data. whole genome screening survival related gene expression patterns breast studied. The list that impacts patient divided into...
Peptidomics plays an important role in clinical proteomics and disease-associated biomarker discovery. It has exhibited mounting potential early noninvasive diagnosis, prognosis, treatment evaluation of diseases. This article presents introduction peptidomics, the entire peptidomic workflows for serum urine samples, a brief overview recent works this area. The review is designed to enable researchers find most suited strategy their peptidome studies.
In this paper we described an algorithm called NegDetector for locating concerned clinical terms mentioned in electronic narrative text documents and detecting whether the particular appeared different positions are negated or affirmed. The infers status of a condition with regard to property from simple lexical clues occurring context condition, maybe more than few words away term. Considering diverse types negative structures, selects typical, common recognizable usage patterns negatives...
Large-scale human cancer genomics projects, such as TCGA, generated large data for further study. Exploring and mining these to obtain meaningful analysis results can help researchers find potential alterations that intervene the development metastasis of tumors. We developed a web-based gene platform, named TCGA4U, which used statistics methods models translational investigators explore, mine visualize genomic characteristic information from TCGA datasets. Furthermore, through Gene Ontology...
Several large-scale human cancer genomics projects such as TCGA offered huge genomic and clinical data for researchers to obtain meaningful alterations which intervene in the development metastasis of tumors. The object this study was identify associations mutation genes survival time by linking these features outcome. Based on dataset, developed a website called TCGA4U provides visualization solution illustrate relationship alternations with data. Through integrating somatic follow up three...
Natural language processing (NLP) has been designed to convert narrative text into structured data. Although some general NLP architectures have developed, a task-specific framework facilitate the effective use of data is still challenge in lexical resource limited regions, such as China. The purpose this study design and develop extract targeted information from particular documents by adopting dedicated algorithms on current resources. In framework, shared evolving ontology mechanism was...