A5019841300- Epigenetics and DNA Methylation
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Anomaly Detection Techniques and Applications
- Single-cell and spatial transcriptomics
- Mineral Processing and Grinding
- Cancer-related gene regulation
- Cancer-related molecular mechanisms research
- Domain Adaptation and Few-Shot Learning
- Spectroscopy and Chemometric Analyses
- Imbalanced Data Classification Techniques
- Genetic Syndromes and Imprinting
- Machine Learning in Bioinformatics
- MicroRNA in disease regulation
- Cell Image Analysis Techniques
- Ferroptosis and cancer prognosis
- Oil and Gas Production Techniques
- Hepatitis C virus research
- Cancer Genomics and Diagnostics
- Non-Destructive Testing Techniques
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Advanced Measurement and Detection Methods
University of Electronic Science and Technology of China
2015-2024
Shenzhen Institutes of Advanced Technology
2024
Institute for Advanced Study
2024
Shenzhen Institute of Information Technology
2022
University of California, San Diego
2016-2021
Jilin University
2018
Dongfang Electric Corporation (China)
2012
Tsinghua University
2006-2010
Abstract Stratifying patients on the basis of molecular signatures could facilitate development therapeutics that target pathways specific to a particular disease or tissue location. Previous studies suggest pathogenesis rheumatoid arthritis (RA) is similar in all affected joints. Here we show distinct DNA methylation and transcriptome not only discriminate RA fibroblast-like synoviocytes (FLS) from osteoarthritis FLS, but also distinguish FLS isolated knees hips. Using genome-wide methods,...
Abstract Motivation: Over 50% of human genes contain CpG islands in their 5′-regions. Methylation patterns are involved tissue-specific gene expression and regulation. Mis-epigenetic silencing associated with aberrant island methylation is one mechanism leading to the loss tumor suppressor functions cancer cells. Large-scale experimental detection DNA still both labor-intensive time-consuming. Therefore, it necessary develop silico approaches for predicting status islands. Results: Based on...
Determination of genome-wide DNA methylation is significant for both basic research and drug development. As a key epigenetic modification, this biochemical process can modulate gene expression to influence the cell differentiation which possibly lead cancer. Due involuted mechanism methylation, obtaining precise prediction considerably tough challenge. Existing approaches have yielded good predictions, but methods either need combine plenty features prerequisites or deal with only...
DNA methylation is an important epigenetic mark but how its locus-specificity decided in relation to sequence not fully understood. Here, we have analyzed 34 diverse whole-genome bisulfite sequencing datasets human and identified 313 motifs, including 92 221 associated with (methylation MMs) unmethylation (unmethylation UMs), respectively. The functionality of these motifs supported by multiple lines evidence. First, the levels at MM UM are respectively higher lower than genomic background....
The integration of genomic and DNA methylation data has been demonstrated as a powerful strategy in understanding cancer mechanisms identifying therapeutic targets. TCGA consortium mapped thousands samples using Illumina Infinium Human Methylation 450 K BeadChip (Illumina array) that only covers about 1.5% CpGs the human genome. Therefore, increasing coverage methylome would significantly leverage usage data. Here, we present new model called EAGLING can expand array 18 times to cover 30% We...
Abstract Motivation: DNA methylation signatures in rheumatoid arthritis (RA) have been identified fibroblast-like synoviocytes (FLS) with Illumina HumanMethylation450 array. Since <2% of CpG sites are covered by the 450K array and whole genome bisulfite sequencing is still too expensive for many samples, computationally predicting levels based on data would be valuable to discover more RA-related genes. Results: We developed a computational model that trained 14 tissues both data....
An effective fault detection and tolerant control strategy in induction motor is described this paper. Based on the algorithm of posterior reliability voting, proposed approach could detect healthy state encoder, adjust weights between speed from encoder estimated based MRAS. When redundant current sensors are installed controller, a logic decision scheme shield faulty one, guarantee that signals involved two sensors. Abrupt faults both sensor simulated driver individually, simulation...
Single-cell DNA methylation sequencing detects levels with single-cell resolution, while this technology is upgrading our understanding of the regulation gene expression through epigenetic modifications. Meanwhile, almost all current technologies suffer from inherent problem detecting low coverage number CpGs. Therefore, addressing sparsity raw data essential for quantitative analysis whole genome.Here, we reported CaMelia, a CatBoost gradient boosting method predicting missing states based...
Majority of CpG dinucleotides in mammalian genomes tend to undergo DNA methylation, but most islands are resistant such epigenetic modification. Understanding about mechanisms that may lead the methylation resistance is still very poor.Using genome-scale vivo data from human brain, we investigated flanking sequence features methylation-resistant islands, and discovered there several over-represented putative Transcription Factor Binding Sites (TFBSs) a specific group zinc finger protein...