Human disease prediction based on deep and machine learning classification of genes with miRNA binding sites.
Ines SlimeneImen MessaoudiAfef Elloumi OueslatiZied LachiriPublished in: Multim. Tools Appl. (2024)
Keyphrases
- gene expression
- binding sites
- differentially expressed
- expression profiles
- machine learning
- gene expression profiles
- protein interaction
- ovarian cancer
- differentially expressed genes
- dna microarray
- microarray
- transcription factors
- gene expression data
- microarray data analysis
- regulatory networks
- microarray datasets
- gene sets
- microarray data
- dna binding
- dna sequences
- biological processes
- high dimensionality
- machine learning methods
- gene regulation
- transcription factor binding sites
- gene ontology
- gene selection
- computational biology
- cancer diagnosis
- cell cycle
- gene function
- cancer classification
- sequence data
- feature selection
- motif discovery
- biological networks
- biological knowledge
- statistical significance
- protein protein interaction networks
- signaling pathways
- high throughput
- single nucleotide polymorphisms
- genomic data
- protein protein interactions
- high dimensional
- molecular biology