A5040922274- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Fractal and DNA sequence analysis
- Cell Image Analysis Techniques
- Advanced biosensing and bioanalysis techniques
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Plant Molecular Biology Research
- Gene expression and cancer classification
- Photosynthetic Processes and Mechanisms
- Genome Rearrangement Algorithms
- Genetics, Bioinformatics, and Biomedical Research
- Computational Geometry and Mesh Generation
- Plant Parasitism and Resistance
- Algorithms and Data Compression
- Advanced Numerical Analysis Techniques
- RNA and protein synthesis mechanisms
- Biomedical Text Mining and Ontologies
Guizhou University
2024
Harbin Institute of Technology
2014
Whole-organism cell atlases have painted the cellular landscapes of individual species, however comparing cells across tree life remains challenging. Most cross-species analyses are restricted to orthologous genes, while complexity atlas data constitutes an access barrier for many researchers. We developed a computational strategy accelerate exploration identities at scale. integrated 30 detailing expression 861,013 genes by 2,645,508 animal and plant trained universal model transcriptomes...
Abstract Omic technologies at single-cell resolution are reshaping our understanding of cellular diversity. The generation cell atlases that capture the composition an entire individual is progressing rapidly. However, science organising and extracting information from these still in its infancy for many biomedical researchers atlas exploration remains challenging. Here, we leveraged extensive experience data analytics to pinpoint three major accessibility barriers atlases, related (i)...