A5109862492- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- Data Stream Mining Techniques
- GDF15 and Related Biomarkers
- Electrostatic Discharge in Electronics
- Acne and Rosacea Treatments and Effects
- Gynecological conditions and treatments
- Physical Unclonable Functions (PUFs) and Hardware Security
- Coastal wetland ecosystem dynamics
- Uterine Myomas and Treatments
- Cloud Computing and Resource Management
- Face and Expression Recognition
- Machine Learning in Healthcare
- Ion channel regulation and function
- Cell Image Analysis Techniques
- Recommender Systems and Techniques
- Mental Health via Writing
- Lipoproteins and Cardiovascular Health
- IoT and Edge/Fog Computing
Central South University
2013-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2024-2025
Nanjing Medical University
2025
Chinese Academy of Medical Sciences Dermatology Hospital
2025
Chinese People's Liberation Army
2024
Xiyuan Hospital
2024
Huawei Technologies (China)
2024
Nanchang Institute of Technology
2024
Nanjing University of Science and Technology
2020
Shanxi University of Traditional Chinese Medicine
2011
In recent years, the recommendation systems have become increasingly popular and been used in a broad variety of applications. Here, we investigate matrix completion techniques for that are based on collaborative filtering. The filtering problem can be viewed as predicting favorability user with respect to new items commodities. When rating is constructed users rows, columns, entries ratings, then modeled by filling out unknown elements matrix. This article presents comprehensive survey...
T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing antigenic peptides, a process pivotal for cancer immunotherapy, vaccine design, autoimmune disease management. Understanding intricate binding patterns between TCRs peptides is critical advancing these clinical applications. While several computational tools have been developed, they neglect directional semantics inherent in sequence data, which are essential accurately characterizing TCR-peptide...
Objective: It has been reported that dietary factors may be closely associated with skin psoriasis. However, their causal associations psoriasis remain elusive. This study aimed to clarify the relationships between genetic determinants for habits and through application of Mendelian randomization (MR) approaches. Methods: Genome-wide association (GWAS) data were leveraged evaluate 34 common in relation The primary methodological framework utilized multiplicative random-effects inverse...
Integration of single-cell transcriptome datasets from multiple sources plays an important role in investigating complex biological systems. The key to integration is batch effect removal. Recent methods attempt apply a contrastive learning strategy correct effects. Despite their encouraging performance, the optimal framework for removal still under exploration. We develop improved learning-based correction framework, GLOBE. GLOBE defines adaptive translation transformations each cell...
With the rapidly development of biotechnology, it is now possible to obtain single-cell multi-omics data in same cell. However, how integrate and analyze these remains a great challenge. Herein, we introduce an interpretable multitask framework (scMoMtF) for comprehensively analyzing data. The scMoMtF can simultaneously solve multiple key tasks including dimension reduction, cell classification simulation. experimental results shows that outperforms current state-of-the-art algorithms on...
The fluctuation of atoms around their average positions in protein structures provides important information regarding dynamics. This flexibility is associated with various biological processes. Predicting residues from sequences significant for analyzing the dynamic properties proteins which will be helpful predicting functions. In this paper, an approach improving accuracy prediction introduced. A neural network method 3 states implemented. incorporates sequence and evolutionary...
Dyslipidemia has been established as a potential risk factor for venous thromboembolism (VTE) in several observational studies. Statins and novel lipid-modifying agents are being explored their VTE prevention, encompassing deep vein thrombosis (DVT), pulmonary embolism (PE). Nonetheless, conclusive evidence supporting the effectiveness remains uncertain. Without definitive proof, current recommendation of lipid-lowering drugs (LLDs) preventing VTE, either primarily or secondarily, is not...
Acne is a common skin disorder that may be linked to metabolic dysfunction. However, the causal impact of blood metabolites on acne has not been thoroughly investigated.
The traditional Fuzzy C-Means (FCM) Clustering Algorithm is widely used in Data Mining technology at present. It always adopts Euclidean Distance to measure the dissimilarity between objects. Accordingly clusters with convex shapes could be generally discovered. But it difficult discover irregular shapes, and also more sensitive existence of noise isolated points. In this paper, A modified algorithm based on Mahalanobis algorithm, into which integrates matriculated mind, proposed. According...
When automatic speech recognition (ASR) is provided as a cloud service, it easy to collect voice and application domain data from users.Harnessing these will facilitate the provision of more personalized services.In this paper, we demonstrate our transfer learning-based knowledge service that built with user-generated collected through novel system deliveries ASR service.First, discuss motivation, challenges, prospects building up such knowledge-based service-oriented system.Second, present...
Complex diseases are affected by many factors, and their pathogenic mechanism is complicated, which brings difficulties to the analysis treatment of diseases. AUC, area under ROC curve, often used as a gold standard evaluate performance binary classifier. The existing methods constructing classifier optimizing AUC easy fall into local optimum, have high time complexity, not suitable for real-time high-dimensional gene expression data. With rapid development high-throughput sequencing...