A5101915655- Single-cell and spatial transcriptomics
- Innovation and Knowledge Management
- Gene Regulatory Network Analysis
- Cell Image Analysis Techniques
- Business Strategy and Innovation
- Innovation Diffusion and Forecasting
- Gene expression and cancer classification
- Open Source Software Innovations
- Biosensors and Analytical Detection
- Big Data and Business Intelligence
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Ferroptosis and cancer prognosis
- University-Industry-Government Innovation Models
- Intellectual Capital and Performance Analysis
- Sustainable Industrial Ecology
- Extracellular vesicles in disease
- Heat shock proteins research
- Engineering and Information Technology
- Technology Assessment and Management
- RNA Research and Splicing
- S100 Proteins and Annexins
- Bone and Joint Diseases
- Product Development and Customization
Tsinghua University
2020-2025
Northwest Institute of Mechanical and Electrical Engineering
2024
Renmin University of China
2024
Kunming Medical University
2021
Harbin University of Commerce
2018-2021
Harbin Institute of Technology
2019
China Jiliang University
2011-2013
The accumulation of massive single-cell omics data provides growing resources for building biomolecular atlases all cells human organs or the whole body. true assembly a cell atlas should be cell-centric rather than file-centric. We developed unified informatics framework seamless and built Ensemble Cell Atlas (hECA) from scattered data. hECA v1.0 assembled 1,093,299 labeled 116 published datasets, covering 38 11 systems. invented three new methods applications based on assembly: "in data"...
Enhancers serve as pivotal regulators of gene expression throughout various biological processes by interacting with transcription factors (TFs). While factor binding sites (TFBSs) are widely acknowledged key determinants TF and enhancer activity, the significant role their surrounding context sequences remains to be quantitatively characterized. Here we propose concept unit (TFBU) modularly model enhancers quantifying impact TFBSs using deep learning models. Based on this concept, develop...
This study examines the impact of father-son co-governance on innovation investment in Chinese family businesses and investigates moderating role sibling conflicts. Using 8,085 observations, empirical analysis was conducted with Stata 18. The results indicate that significantly suppresses during phase businesses. Furthermore, conflicts moderate relationship between investment. proposes a stage-based theoretical framework for intergenerational succession by looking at creative behaviors...
Plant annexins constitute a conserved protein family that plays crucial roles in regulating plant growth and development, as well responses to both biotic abiotic stresses. In this study, total of 144 annexin genes were identified the barley pan-genome, comprising 12 reference genomes, including cultivated barley, landraces, wild barley. Their chromosomal locations, physical-chemical characteristics, gene structures, domains, subcellular localizations systematically analyzed reveal certain...
Investigating mutations, including single nucleotide variations (SNVs), gene fusions, alternative splicing and copy number (CNVs), is fundamental to cancer study. Recent computational methods biological research have demonstrated the reliability significance of detecting mutations from single-cell transcriptomic data. However, there a lack single-cell-level database containing comprehensive mutation information in all types cancer. Establishing landscape huge emerging data can provide...
With the rapid development of single-cell genomics, technologies for parallel sequencing transcriptome and genome in each single cell is being explored several labs becoming available. This brings us opportunity to uncover association between genotypes gene expression phenotypes at level by eQTL analysis on data. New method needed such tasks due special characteristics data.We developed an R package SCeQTL that uses zero-inflated negative binomial regression do It can distinguish two type...
This article contributes to the understanding of impact focal firm's centrality on innovation performance by examining knowledge governance's influence as a mediatory variable. The objective research is find items and test hypotheses listed. To investigate it, model path analysis established each variable are proposed based theoretical references. Results imply that total effect between reaches 0.459 in which direct 0.242 indirect 0.217. data suggest governance partly performance. It...
Complex traits such as cardiovascular diseases (CVD) are the results of complicated processes jointly affected by genetic and environmental factors. Genome-wide association studies (GWAS) identified variants associated with but usually did not reveal underlying mechanisms. There could be many intermediate steps at epigenetic, transcriptomic, cellular scales inside black box genotype-phenotype associations. In this article, we present a machine-learning-based cross-scale framework GRPath to...
The formation of agate is related to syngenetic or epigenetic magmatic hydrothermal fluids. Trace elements incorporated during the alteration host rocks caused by fluids precipitate their crystallization, reflecting characteristics rocks. While prior research has yielded extensive trace element data differentiate types found in volcanic rocks, there remains a need for more efficient method identify rock alluvial agate. In this study, two-stage Random Forest approach was employed classify...
A knowledge-measuring method applicable to enterprises' production is constructed and a simulation carried out prove the applicability of method. First, total amount knowledge increases exponentially with increase task modularisations. Second, relationship between single-task modularisations makes at lower level; however, as types become increasingly rich when various relationships achieve equilibrium, would reach higher level. Meanwhile, in networks shows linear growth comprehensive...
Abstract The rapid advancement of transposase-accessible chromatin using sequencing (ATAC-seq) technology, particularly with the emergence single-cell ATAC-seq (scATAC-seq), has accelerated studies gene regulation. However, absence a generic feature reference for data limits analyses and hinders development comprehensive cell atlases. To address this, we constructed accessibility by aggregating peaks from 624 high-quality bulk datasets, defining more than 1 million consensus (cPeaks)....
Abstract The heart maintains its essential role in human life by the highly orchestrated functioning of specialized cell types. Recent advances single-cell and single-nuclei RNA sequencing (scRNA-seq snRNA-seq) provides possibility profiling molecular cellular characteristics cells. We collected scRNA-seq snRNA-seq data healthy hearts from all available sources built first ensemble atlas, uniHEART, using a unified information framework for cell-centric atlas assembly. current version...
SUMMARY Single-cell omics data can characterize multifaceted features of massive cells and bring significant insights to biomedical researches. The accumulation single-cell provides growing resources for constructing atlases all a human organ or the whole body. true assembly cell atlas should be cell-centric rather than file-centric. We proposed unified information framework enabling seamless developed Ensemble Cell Atlas (hECA) as an instance. hECA version 1.0 assembled scRNA-seq across...