A5101756728- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Circular RNAs in diseases
- RNA modifications and cancer
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gut microbiota and health
- Protein Structure and Dynamics
- RNA Research and Splicing
- Face and Expression Recognition
- Tensor decomposition and applications
- Video Surveillance and Tracking Methods
- RNA and protein synthesis mechanisms
- Advanced Image and Video Retrieval Techniques
- Higher Education and Teaching Methods
- Computer Graphics and Visualization Techniques
- Remote-Sensing Image Classification
- vaccines and immunoinformatics approaches
- Interactive and Immersive Displays
- Advanced Neural Network Applications
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Salivary Gland Disorders and Functions
- Genomics and Chromatin Dynamics
Shandong Normal University
2016-2025
Second Hospital of Shandong University
2025
Anhui Agricultural University
2025
Beibu Gulf University
2024
Dezhou University
2024
Nanchang Institute of Technology
2024
Xiamen University
2023
Institute of Art
2023
Shantou University
2021
Cloud Computing Center
2020
MicroRNAs (miRNAs) play crucial roles in post-transcriptional regulations and various cellular processes. The identification of disease-related miRNAs provides great insights into the underlying pathogenesis diseases at a system level. However, most existing computational approaches are biased towards known miRNA-disease associations, which is inappropriate for those new or without any association information.In this study, we propose method with graph regularized non-negative matrix...
Variation of maternal gut microbiota may increase the risk autism spectrum disorders (ASDs) in offspring. Animal studies have indicated that is related to neurodevelopmental abnormalities mouse offspring, while it unclear whether there a correlation between ASD children and their mothers. We examined relationships microbiome profiles those mothers, evaluated clinical discriminatory power discovered bacterial biomarkers. Gut was profiled by 16S ribosomal RNA gene sequencing stool samples 59...
Background: Association between oral bacteria and increased risk of lung cancer have been reported in several previous studies, however, the potential association salivary microbiome non-smoking women not evaluated. There is also no report on relationship immunocytochemistry markers microbiota. Method: In this study, we assessed 75 female patients 172 matched healthy individuals using 16S rRNA gene amplicon sequencing. We calculated Spearman's rank correlation coefficient microbiota three...
Increasing evidence has indicated that microRNAs(miRNAs) play vital roles in various pathological processes and thus are closely related with many complex human diseases. The identification of potential disease-related miRNAs offers new opportunities to understand disease etiology pathogenesis. Although there have been numerous computational methods proposed predict reliable miRNA-disease associations, they suffer from limitations affect the prediction accuracy their applicability. In this...
Incomplete multi-view clustering has represented a significant role in grouping real images. In this study, novel robust tensor subspace learning (RTSL) is proposed for incomplete clustering. Specifically, the missing samples within views are first recovered by matrix factorization. The information utilized latent representations learning. And then, obtained organized from all into third-order and intrinsic sample relations captured with linear representation. Moreover, low-rank coefficient...
Abstract Motivation: Identification of microRNA regulatory modules (MiRMs) will aid deciphering aberrant transcriptional network in cancer but is computationally challenging. Existing methods are stochastic or require a fixed number modules. Results: We propose Mirsynergy, an efficient deterministic overlapping clustering algorithm adapted from recently developed framework. Mirsynergy operates two stages: it first forms MiRMs based on co-occurring (miRNA) targets and then expands each MiRM...
The discovery of human disease-related miRNA is a challenging problem for complex disease biology research. For existing computational methods, it difficult to achieve excellent performance with sparse known miRNA-disease association verified by biological experiment. Here, we develop CPTL, Collective Prediction based on Transduction Learning, systematically prioritize miRNAs related disease. By combining similarity, similarity association, construct network predicting association. Then,...
Oral squamous cell carcinoma (OSCC) is affected by the interaction between oral pathogen and holobionts, or combination of host its microbial communities. Studies have indicated structure feature microbiome in OSCC tissue saliva, relationships microbiota sites, stages remain unclear. In present study, (T), saliva (S) mouthwash (W) samples were collected from same subjects carried out study 16S sequencing. The results showed T group was significantly different S W groups with character lower...
Long non-coding RNAs (lncRNAs) can regulate gene expression directly or indirectly through interacting with microRNAs (miRNAs). However, the role of differentially expressed mRNAs, lncRNAs and miRNAs, especially their related competitive endogenous (ceRNA) network in head neck squamous cell carcinoma (HNSCC), is not fully comprehended. In this paper, lncRNA, miRNA, mRNA profiles 546 HNSCC patients, including 502 tumor 44 adjacent non-tumor tissues, from The Cancer Genome Atlas (TCGA) were...
Abstract Mi RNA s are a class of small non‐coding that involved in the development and progression various complex diseases. Great efforts have been made to discover potential associations between mi diseases recently. As experimental methods general expensive time‐consuming, large number computational models developed effectively predict reliable disease‐related s. However, inherent noise incompleteness existing biological datasets inevitably limited prediction accuracy current models. To...
There is a growing body of evidence from biological experiments suggesting that microRNAs (miRNAs) play significant regulatory role in both diverse cellular activities and pathological processes. Exploring miRNA-disease associations not only can decipher pathogenic mechanisms but also provide treatment solutions for diseases. As it inefficient to identify undiscovered relationships between diseases miRNAs using biotechnology, an explosion computational methods have been advanced. However,...
Recent advances in spatially resolved transcriptomics (ST) technologies enable the measurement of gene expression profiles while preserving cellular spatial context. Linking cells with their distribution is essential for better understanding tissue microenvironment and biological progress. However, effectively combining data information to identify domains remains challenging.To deal above issue, this paper, we propose a novel unsupervised learning framework named STMGCN identifying using...
An interpolation method is proposed for generating the intermediate contours between a start contour and goal contour. Coupled with display voxel-based objects, it provides powerful tool reconstructing 3D object from serial cross sections. The tries to fill in lost information two slices, assuming that there smooth change them. This reasonable assumption provided sampling at least twice Nyquist rate, which case result of expected be very close reality. One major advantages this approach its...
We present an algorithm for interactive structure-preserving retargeting of irregular 3D architecture models, offering the modeler easy-to-use tool to quickly generate a variety models that resemble input piece in its structural style. Working on more global and level input, our technique allows even encourages replication elements, while taking into account their semantics expected geometric interrelations such as alignments adjacency. The performs automatic scaling these elements...
Recently, increasing experimental studies have shown that microRNAs (miRNAs) involved in multiple physiological processes are connected with several complex human diseases. Identifying disease-related miRNAs will be useful uncovering novel prognostic markers for cancer. Currently, computational approaches been developed miRNA-disease association prediction based on the integration of additional biological information diseases and miRNAs, such as disease semantic similarity miRNA functional...
MicroRNAs (miRNAs) play critical roles in many biological processes. Predicting the miRNA-disease associations will aid deciphering underlying pathogenesis of human polygenic diseases. However, existing silico prediction methods typically utilize a single or limited data sources for disease-related miRNA prioritization and most are biased toward known associations. Due to insufficient number experimentally validated interactions as well no verified negative samples, obtaining remarkable...
A growing body of evidence indicates that circular RNAs (circRNAs) play a pivotal role in various biological processes and have close association with the initiation progression diseases. Moreover, circRNAs are considered as promising biomarkers for disease diagnosis owing to their characteristics conservation, stability universality. Inferring disease-circRNA relationships will contribute understanding pathology. However, it is costly laborious discover novel interactions by wet-lab...