A5085717026- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Alzheimer's disease research and treatments
- Gene expression and cancer classification
- Electrocatalysts for Energy Conversion
- Chromosomal and Genetic Variations
- Cholinesterase and Neurodegenerative Diseases
- RNA modifications and cancer
- Fuel Cells and Related Materials
- Hybrid Renewable Energy Systems
- Adipose Tissue and Metabolism
- Advanced battery technologies research
- Effects and risks of endocrine disrupting chemicals
- Cancer-related molecular mechanisms research
- Biomedical Research and Pathophysiology
- Biochemical effects in animals
- Drug Transport and Resistance Mechanisms
- Protein Hydrolysis and Bioactive Peptides
- MicroRNA in disease regulation
- Cannabis and Cannabinoid Research
- Autophagy in Disease and Therapy
- Estrogen and related hormone effects
- Extracellular vesicles in disease
- Silymarin and Mushroom Poisoning
- Muscle metabolism and nutrition
South China University of Technology
2024
Northeast Forestry University
2022-2023
Dalian Maritime University
2019-2021
Shenyang Pharmaceutical University
2016-2019
Jilin Agricultural University
2018
University of Technology
2018
Hebei Medical University
2017
One advantage of single-cell RNA sequencing is its ability in revealing cell heterogeneity by clustering. However, clustering based on challenging due to the high transcript amplification noise, sparsity and outlier populations. In this study, we propose a novel sparse subspace method called Structured Sparse Subspace Clustering Completion for analysis assuming cells related together are same subspace, so relationships among can be described within instead between pairs. The proposed...
A biowaste, i.e. , eggshell membranes, was utilized as a versatile platform to fabricate OER electrocatalysts for seawater electrolysis.
With the rapid growth of aging population, exploring biological basis and related molecular mechanisms has become an important topic in modern scientific research. Aging can cause multiple organ function attenuations, leading to occurrence development various age-related metabolic, nervous system, cardiovascular diseases. In addition, is closely tumors. Although a number studies have used mouse models study aging, further research needed associate human at level. this paper, we...
The Manchurian walnut (Juglans mandshurica Maxim.) is rich in proteins, whereas this resource has not been used efficiently.The antifatigue, antioxidative and immunoregulatory effects of hydrolysate peptides (MWHPs) were evaluated study.MWHPs with a degree hydrolysis 32.23% ultrafiltered divided into three fractions, namely, high (> 10 kDa), medium (3-10 low molecular weight (< 3 then fed to mice continuously at doses 200, 400 or 800 mg/(kg•d).The antioxidative, the tested on second fourth...
Identifying gene regulatory networks (GRNs) at the resolution of single cells has long been a great challenge, and advent single-cell multi-omics data provides unprecedented opportunities to construct GRNs. Here, we propose novel strategy integrate omics datasets ribonucleic acid sequencing Assay for Transposase-Accessible Chromatin using sequencing, an unsupervised learning neural network divide samples with high copy number variation scores, which are used infer GRN in each block. Accuracy...
Single-cell sequencing technology can not only view the heterogeneity of cells from a molecular perspective, but also discover new cell types. Although there are many effective methods on dropout imputation, clustering, and lineage reconstruction based single RNA (RNA-seq) data, is no systemic pipeline how to compare two clusters at level. In study, we present novel comparing clusters, including calling differential gene expression, coexpression network modules, so on. The could reveal...
Critical in revealing cell heterogeneity and identifying new subtypes, clustering based on single-cell RNA sequencing (scRNA-seq) is challenging. Due to the high noise, sparsity, poor annotation of scRNA-seq data, existing state-of-the-art methods usually ignore gene functions interactions. In this study, we propose a feature extraction method, named FEGFS, analyze taking advantage known functions. Specifically, first derive functional sets Gene Ontology (GO) terms reduce their redundancy by...