DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.
Cheng YanJianxin WangPeng NiWei LanFang-Xiang WuYi PanPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2019)
Keyphrases
- genome wide association studies
- computational methods
- binding sites
- high throughput
- genome wide
- genetic variation
- secondary structure
- sequence data
- disease diagnosis
- high throughput technologies
- diagnostic process
- biological data
- early diagnosis
- cardiovascular disease
- clinically relevant
- complex diseases
- biological entities
- similarity measure
- severe acute respiratory syndrome
- disease progression
- infectious disease
- human genome
- association rules
- single nucleotide polymorphisms
- systems biology
- gene regulation
- microarray
- medical doctors
- patient groups
- statistical significance
- protein protein interactions
- protein structure
- protein sequences
- disease outbreaks
- metamodel
- gene expression
- statistical analysis
- software development
- software engineering