Publications by authors named "Xianghan Li"
Article Synopsis
- UMAP has transformed single-cell RNA analysis, but its application to single-cell DNA sequencing, especially for gene mutations, is underutilized.
- Mugen-UMAP is a new Python tool that adapts UMAP for analyzing single-cell DNA data, allowing for detailed visualization and statistical analysis of gene mutation patterns.
- In studies of lung cancer and other cancer types, Mugen-UMAP successfully identified cell clusters, revealing important insights for further research in gene mutation analysis.
Background: Single nucleotide polymorphisms (SNPs) are often associated with distinct phenotypes in cancer. The present study investigated associations of cancer risk and outcomes with SNPs discovered by whole exome sequencing of normal lung tissue DNA of 15 non-small cell lung cancer (NSCLC) patients, 10 early stage and 5 advanced stage.
Methods: DNA extracted from normal lung tissue of the 15 NSCLC patients was subjected to whole genome amplification and sequencing and analyzed for the occurrence of SNPs.
Recent advances in taxonomy have led to the need to conduct fresh surveys of species associated with important crops. Anthracnose caused by spp. is one of the destructive diseases on .
View Article and Find Full Text PDFFluorescent nitrogen-doped carbon dots (CDs) were prepared via hydrothermal method at 190 °C for 10 h using rhizobium from soy as the carbon and nitrogen source. Their optical properties, structure, morphology, and functional groups were characterized in detail and the results showed that they possess unique excitation-dependent fluorescence behavior, with average diameter 4.5 ± 2.
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