LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.
Xu-Ran DouWen-Yu XiTian-Ru WuCui-Na JiaoJin-Xing LiuYing-Lian GaoPublished in: ICIC (3) (2023)
Keyphrases
- gene function
- gene expression
- genome wide
- computational methods
- gene sets
- secondary structure
- genome wide association studies
- gene ontology
- regulatory networks
- differentially expressed genes
- biological knowledge
- microarray data analysis
- microarray
- expression profiles
- high throughput
- binding sites
- differentially expressed
- biological processes
- genetic variation
- textual information
- microarray data
- gene regulation
- gene expression data
- association rules
- biomedical literature
- gene expression profiles
- microarray datasets
- gene regulatory networks
- information theoretic
- data sets
- ovarian cancer
- machine learning