A5103256015- Metabolomics and Mass Spectrometry Studies
- Plant Disease Resistance and Genetics
- Mass Spectrometry Techniques and Applications
- Bioinformatics and Genomic Networks
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Genetic diversity and population structure
- Gene expression and cancer classification
- Scheduling and Optimization Algorithms
- Computational Drug Discovery Methods
- Analytical Chemistry and Chromatography
- Genomics and Chromatin Dynamics
- Molecular Biology Techniques and Applications
- Forensic and Genetic Research
- Cancer Mechanisms and Therapy
- Flowering Plant Growth and Cultivation
- Phosphorus and nutrient management
- Environmental DNA in Biodiversity Studies
- Advanced Proteomics Techniques and Applications
- Plant responses to elevated CO2
- Silkworms and Sericulture Research
- RNA modifications and cancer
- Cardiac Fibrosis and Remodeling
- Cell Image Analysis Techniques
- Macrophage Migration Inhibitory Factor
The University of Texas at San Antonio
2008-2024
Beijing University of Technology
2024
Jilin University
2020-2021
Ninghai First Hospital Medicare and Health Group
2020
Shanghai Tenth People's Hospital
2020
Lanzhou University of Technology
2017-2018
Jilin Provincial Academy of Forestry Science
2018
Shanghai Public Security Bureau
2017
Shanghai University
2013
Jiangsu Academy of Agricultural Sciences
2010
Abstract Background About 6 million Americans suffer from heart failure and 70% of cases are caused by myocardial infarction (MI). Following infarction, increased cytokines induce two major types macrophages: classically activated macrophages which contribute to extracellular matrix destruction alternatively construction. Though experimental results have shown the transitions between these macrophages, little is known about dynamic progression activation. Therefore, objective this study...
Abstract Motivation Molecular Regulatory Pathways (MRPs) are crucial for understanding biological functions. Knowledge Graphs (KGs) have become vital in organizing and analyzing MRPs, providing structured representations of complex interactions. Current tools mining KGs from biomedical literature inadequate capturing complex, hierarchical relationships contextual information about MRPs. Large Language Models (LLMs) like GPT-4 offer a promising solution, with advanced capabilities to decipher...
This paper describes the removal of phosphate from wastewater using raw laterite (RL) and activated (AL) according to batch column adsorption experiments. Single factor experiment was performed identify optimal activation conditions. The results showed that sample prepared by heating at 700°C for 2 h had performance. effect various factors such as pH, dosage, coexisting ions on performance two kinds investigated. materials exhibited higher over broader pH range compared with ones. Langmuir...
Evaluating genetic diversity in mulberry consitutes an indespensible part the use for taxonomical grouping and utilization breeding conservation programs. In this paper, population structure of 2 populations M. mongolica from Xianghai National Natural Reserve Tongfa pastureland Baicheng city, northeast China's Jilin province, were analyzed by ISSR markers. Eleven primers generated a total 80 amplification products, which 60 polymorphic, revealing 75.00% polymorphism among 20 wild accessions....
Mounting evidence indicates that circular RNAs modulate the initiation of clear cell renal carcinoma (ccRCC). However, their specific roles in malignancy ccRCC is understudied. Here, we present a novel RNA, circDHX33, up-regulated lines and tissues. Upregulated circDHX33 patients significantly correlates with advanced TNM stage metastasis. Suppressing expression inhibits proliferation invasion cultured cells, suppresses tumor growth vivo. Mechanistically, show promotes progression by...
ovum oil (RCOO) is an emerging source of unsaturated fatty acids (UFAs), but it lacking in green and efficient extraction methods. In this work, using the response surface strategy, we developed a CO
In this study, we analyzed the genetic polymorphisms of 23 Y-STR loci from PowerPlex® Y23 system in 916 unrelated healthy male individuals Chinese Jiangsu Han, and observed 912 different haplotypes including 908 unique 4 duplicate haplotypes. The haplotype diversity reached 0.99999 discrimination capacity match probability were 0.9956 0.0011, respectively. gene values ranged 0.3942 at DYS438 to 0.9607 DYS385a/b. Population differentiation within 10 Han subpopulations evaluated by RST...
Transcriptional regulation by transcription factors (TFs) and microRNAs controls when how much RNA is created. Due to technical limitations, the protein level expressions of TFs are usually unknown, making computational reconstruction transcriptional network a difficult task. We proposed here novel Bayesian non negative hybrid factor model for modeling, which capable estimate both non-negative abundances factors, regulatory effects microRNAs, sample clustering information integrating...
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor model (BSCRFM) proposed that models the unknown TF protein level activity, regulations between TFs, and nature TF-regulated genes. admits prior knowledge from existing database regarding target genes a through developed Gibbs sampling algorithm, context-specific regulatory network specific to experimental condition can...
The identification and quantification of proteins using label-free Liquid Chromatography/Mass Spectrometry (LC/MS) play crucial roles in biological biomedical research. Increasing evidence has shown that biomarkers are often low abundance proteins. However, LC/MS systems subject to considerable noise sample variability, whose statistical characteristics still elusive, making computational extremely challenging. As a result, the inability identifying proteomic study is main bottleneck protein...
Abstract Analysis of peptide profiles from liquid chromatography/Fourier transform mass spectrometry (LC/FTMS) reveals a nonlinear distortion in intensity. Investigation the measured C 13 /C 12 ratios comparing with theoretical ones shows that nonlinearity can be attributed to signal suppression low abundance peaks. We find is homogenous for different isotopes identical peptides but non‐homogenous peptides. develop an iterative correction algorithm corrects intensity distortions relatively...
In this paper, a novel Bayesian peak detection algorithm is proposed for peptide in high resolution prOTOFtrade MALDI Mass Spectrometry(MS) data. A nonlinear parametric model modeling the signals, chemical noise, and thermal noise. metropolized Gibbs sampling derived detection. The compared with popular wavelet-based results show significant improvement performance on simulated finally tested real MS data agree visual inspection very well.
Abstract As scRNA-seq becomes increasingly accessible, providing a cost-efficient method to augment surface protein levels from gene expression measurements are desirable. We proposed machine learning approach that includes novel geneset neural network (GS-NN) aims learn robust and biologically meaningful features highly efficient transfer strategy address cross-dataset differences. conducted comprehensive experiments show the improvements of methods. Specifically, we demonstrate GS-NN...
Abstract Motivation Transcription factor (TF) binds to the promoter region of a gene control expression. Identifying precise transcription binding sites (TFBS) is essential for understanding detailed mechanisms TF mediated regulation. However, there shortage computational approach that can deliver single base pair (bp) resolution prediction TFBS. Results In this paper, we propose DeepSNR, Deep Learning algorithm predicting location at Single Nucleotide Resolution de novo from DNA sequence....
In the production system, machine processing ability is unequal, which leads to low utilization rate of and long waiting time workpiece. Aiming at these problems, Markov queuing model with unequal capability proposed. A dynamic optimization method integrated workshop performance indexes based on capacities studied. The M/M/2 M/M/3 models Unequal abilities are simulated by using signal simulation module in Matlab. rules Markov's optimized aiming capacities, a comprehensive priority also Using...