Identification of Differentially Expressed Genes Associated with Lymph Node Tuberculosis by the Bioinformatic Analysis Based on a Microarray.
Zhenan ZhangYuqin LiuWei WangYue XingNanyang JiangHongrui ZhangHanwen ZhangLei HeWei YueLianju JiangKaili WangPublished in: J. Comput. Biol. (2020)
Keyphrases
- microarray
- differentially expressed genes
- gene expression
- microarray data
- gene expression profiling
- high throughput
- gene expression data
- microarray data analysis
- gene selection
- molecular biology
- cancer diagnosis
- statistical analysis
- clustering analysis
- gene expression profiles
- machine learning
- data analysis
- gene ontology
- experimental conditions
- microarray datasets
- gene networks
- high dimensionality