A5102823757- Epigenetics and DNA Methylation
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced Image Processing Techniques
- SARS-CoV-2 and COVID-19 Research
- Long-Term Effects of COVID-19
- Cancer-related molecular mechanisms research
- Photoacoustic and Ultrasonic Imaging
- Urological Disorders and Treatments
- Cancer Genomics and Diagnostics
- Image and Signal Denoising Methods
- Birth, Development, and Health
- Atomic and Subatomic Physics Research
- Forensic and Genetic Research
- Reproductive Biology and Fertility
- Data Management and Algorithms
- Topic Modeling
- RNA modifications and cancer
- Chromosomal and Genetic Variations
- Neuroinflammation and Neurodegeneration Mechanisms
- Medical Image Segmentation Techniques
- Natural Language Processing Techniques
- Image Retrieval and Classification Techniques
- Neural dynamics and brain function
Huazhong University of Science and Technology
2021-2024
ShanghaiTech University
2021-2023
United Imaging Healthcare (China)
2023
Suzhou Institute of Trade & Commerce
2018
Chongqing University
2009
There is an increased global outbreak of diseases caused by coronaviruses affecting respiratory tracts birds and mammals. Recent dangerous are MERS-CoV, SARS-CoV, SARS-CoV-2, causing illness even failure several organs. However, profound impact coronavirus on host cells remains elusive. In this study, we analyzed transcriptome SARS-CoV-2 infected human lung-derived cells, observed that infection these all induced increase retrotransposon expression with upregulation TET genes. Upregulation...
Significantly decreased H3K4 methylation in oocytes from aged mice indicates the important roles of female reproduction. However, how regulates oocyte development remains largely unexplored. In this study, it is demonstrated that oocyte-specific expression dominant negative mutant H3.3-K4M led to a decrease level mouse oocytes, resulting reduced transcriptional activity and increased DNA disturbed developmental potency, fertility mice. The impaired genes regulating mitochondrial functions...
SARS-CoV-2 caused the COVID-19 pandemic. may elevate risk of cognitive impairment and even cause dementia in infected individuals; it accelerate decline elderly patients with dementia, possibly Alzheimer's disease (AD) patients. However, mechanisms underlying interplay between AD are still unclear. To investigate associations progression infection, we conducted a series bioinformatics research into SARS-CoV-2-infected cells, patients, We identified common differentially expressed genes...
Identifying the source of body fluids found at a crime scene is an essential forensic step. Some methods based on DNA methylation played significant role in identification. Since related to multiple factors, such as race, age, and diseases, it necessary know profile given population. In this study, we tested 19 fluid-specific markers Chinese Han A novel multiplex assay system selected with smaller variation stronger tissue-specific were developed for identification fluids. The 265 fluid...
The alternative usage of promoters provides a way to regulate gene expression, has significant influence on the transcriptome, and contributes cellular transformation cancer. However, function (APs) in hepatocellular carcinoma (HCC) not been systematically studied yet. In addition, potential mechanism regulation APs remains unclear. DNA methylation, one most aberrant epigenetic modifications cancers, is known transcriptional activity. Whether methylation regulates needs be explored. Here, we...
We present a manually-labeled Author Name Disambiguation(AND) Dataset called WhoisWho, which consists of 399,255 documents and 45,187 distinct authors with 421 ambiguous author names. To label such great amount AND data high accuracy, we propose novel annotation framework where the human computer collaborate efficiently precisely. Within framework, also an inductive disambiguation model to classify whether two belong same author. evaluate proposed method other state-of-the-art methods on...
Studies have revealed a particular functional connectome gradient (FC-grad) pattern in the human brain, reflecting delicate organization of brain connectome. Interestingly, can be observed along childhood-adolescent, even neonates. However, FC-grad changes from infancy to childhood remain unraveled, with significant disparities between neonates and school-aged children not explained. We explored early development trajectories FC-grads age 0-5 years. found that neonatal “prototypic” gradients...
To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress rich spatial-temporal information as networks (BFNs) and directly whole-brain network without neurological priors about subnetworks. We thus propose a novel graph learning framework to mine fMRI signals with topological from parcellation for disease diagnosis. Specifically, we 1) detect diagnosis-related temporal...
Hidden Markov tree (HMT) is a tree-structure statistical model, which used to capture the structure information of smooth and singular regions. It works by modeling relationship between wavelet coefficients interscales. For discrete transform (DWT) has its own drawbacks inherently, such as shift variance, lack directionality, etc. The traditional HMT model based on DWT often leads an unideal segmentation result. Because near shift-variance good directional-selectivity complex transforms,...
To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress rich spatial-temporal information as networks (BFNs) and directly whole-brain network without neurological priors about subnetworks. We thus propose a novel graph learning framework to mine fMRI signals with topological from parcellation for disease diagnosis. Specifically, we 1) detect diagnosis-related temporal...
This paper improved an efficient search method to the problem of low efficiency for large data questions. Using shared history query results as a set intermediate results, when new request arrives, analyze request, provide keywords user choose and pick maser word secondary up. Master match historical inquiry is directly added matching portion part result if achieving matching. It can reduce number double counting history, save time improve efficiency. By experimental comparison analysis...
For collecting high-quality high-resolution (HR) MR image, we propose a novel image reconstruction network named IREM, which is trained on multiple low-resolution (LR) images and achieve an arbitrary up-sampling rate for HR reconstruction. In this work, suppose the desired as implicit continuous function of 3D spatial coordinate thick-slice LR several sparse discrete samplings function. Then super-resolution (SR) task to learn volumetric from limited observations using fully-connected neural...