A5077934841- Single-cell and spatial transcriptomics
- Oral Health Pathology and Treatment
- Cancer Genomics and Diagnostics
- Biomedical Text Mining and Ontologies
- Machine Learning in Healthcare
- Cancer Cells and Metastasis
- Genetic Associations and Epidemiology
- Systemic Sclerosis and Related Diseases
- Advanced Image Processing Techniques
- Video Coding and Compression Technologies
- Genomics and Rare Diseases
- Oral and Maxillofacial Pathology
- Cancer Diagnosis and Treatment
- Advanced Vision and Imaging
Washington University in St. Louis
2023-2025
Sichuan University
2022-2025
State Key Laboratory of Oral Diseases
2022-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
University of Georgia
2007
Abstract Ductal carcinoma in situ (DCIS) is a risk factor for subsequent invasive breast cancer. To identify events DCIS that lead to cancer, we performed single-cell RNA-sequencing (scRNA-seq) on lesions and matched normal tissue. Inferred copy number variation (CNV) was used neoplastic epithelial cells from clinical specimens, which contained mixture of ducts. Phylogenetic analysis demonstrated intratumoral clonal heterogeneity associated with significant gene expression differences....
1.The use of machine learning to classify diagnostic cases versus controls defined based on ontologies such as the ICD-10 from neuroimaging features is now commonplace across a wide range fields. However, transdiagnostic comparisons classifications are lacking. Such important establish specificity classification models, set benchmarks, and assess value ontologies.
The MPEG-4 Fine Grained Scalability (FGS) profile aims at scalable layered video encoding, in order to ensure efficient streaming networks with fluctuating bandwidths. In this paper, we propose a novel technique, termed as FMOEMR, which delivers significantly improved rate distortion performance compared existing Base Layer encoding techniques. frames are re-encoded high resolution semantically and visually important regions of the (termed Features, Motion Objects) that defined using mask...
The use of machine learning to classify diagnostic cases versus controls defined based on ontologies such as the International Classification Diseases, Tenth Revision (ICD-10) from neuroimaging features is now commonplace across a wide range fields. However, transdiagnostic comparisons classifications are lacking. Such important establish specificity classification models, set benchmarks, and assess value ontologies. We investigated case-control accuracy in 17 different ICD-10 groups Chapter...
To identify mechanisms underlying the growth of ductal carcinoma in situ (DCIS) and properties that lead to progression invasive cancer, we performed single-cell RNA-sequencing (scRNA-seq) on DCIS lesions matched synchronous normal breast tissue. Using inferred copy number variations (CNV), identified neoplastic epithelial cells from clinical specimens which contained a mixture ducts. Phylogenetic analysis based CNVs demonstrated intratumoral clonal heterogeneity was associated with...
大疱性疾病是指一组以疱、大疱为基本损害的皮肤黏膜疾病，口腔临床以寻常型天疱疮、黏膜类天疱疮及副肿瘤性天疱疮最常见。本文将从常见口腔黏膜大疱性疾病的临床表现、检查方法、诊断思路、诊断标准和治疗特点等方面进行阐述，强调大疱性疾病的规范化诊治理念，即“3个尽量”：尽量获取足够多的诊断依据、尽量做好治疗前全身与局部状况评估、尽量按照各指南和专家共识推荐的方法进行治疗，为临床口腔医师对口腔黏膜常见大疱性疾病的诊治提供参考。.