A5044209053- Single-cell and spatial transcriptomics
- Molecular Biology Techniques and Applications
- Genomics and Phylogenetic Studies
- Artificial Intelligence in Healthcare
BGI Group (China)
2023-2024
Shandong University of Traditional Chinese Medicine
2022
The basic analysis steps of spatial transcriptomics require obtaining gene expression information from both space and cells. existing tools for these analyses incur performance issues when dealing with large datasets. These involve computationally intensive localization, RNA genome alignment, excessive memory usage in chip scenarios. problems affect the applicability efficiency analysis. Here, a high-performance accurate data workflow, called Stereo-seq Analysis Workflow (SAW), was developed...
Abstract The basic analysis steps of spatial transcriptomics involve obtaining gene expression information from both space and cells. This process requires a set tools to be completed, existing face performance issues when dealing with large data sets. These include computationally intensive localization, RNA genome alignment, excessive memory usage in chip scenarios. problems affect the applicability efficiency process. To address these issues, high-performance accurate workflow called...
The continuous development of computer technology and information makes massive data occupy the whole network world. Different industries have seen potential in cyberspace, use accumulated for modeling, prediction analysis. In medical industry, order to alleviate pressure doctors deal with imbalance between number patients, researchers try combine machine learning methods into various application scenarios assist diagnosis prognosis treatment. This paper focuses on heart disease. Firstly,...