Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics.
Thong Ba NguyenDuy Ngoc DoMy-Le Nguyen-ThiHiep Hoang-TheThanh-Thoa TranTung Nguyen-ThanhPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- machine learning
- biological entities
- systems biology
- signaling pathways
- cervical cancer
- computational biology
- gene function prediction
- gene function
- gene interactions
- metabolic pathways
- high throughput
- biological pathways
- biomedical literature
- clustering gene expression data
- candidate genes
- text mining
- gene expression
- gene regulatory networks
- biological data
- data analysis
- differentially expressed genes
- gene expression data
- expression profiles
- computer aided diagnosis
- data mining
- pattern recognition
- microarray data
- biological systems
- disease genes
- decision trees
- genome scale
- computer vision
- protein protein interaction networks
- biological processes
- saccharomyces cerevisiae
- microarray data analysis
- computer aided
- text classification
- complex diseases
- dna microarray
- computational methods
- protein protein interactions
- differential expression
- high throughput technologies
- gene expression analysis