An artificial neural network model based on DNA damage response genes to predict outcomes of lower-grade glioma patients.
Jian ChenXiaojun QianYifu HeXinghua HanYueyin PanPublished in: Briefings Bioinform. (2021)
Keyphrases
- clinical data
- acute myeloid
- low grade
- genomic sequences
- coding regions
- gene sets
- dna sequences
- dna binding
- gene expression
- gene expression data
- sequenced genomes
- genome sequences
- genome wide
- hospital discharge
- patient data
- gene ontology
- protein coding regions
- cis regulatory
- biological processes
- gene prediction
- microarray data
- comparative genomics
- medical data
- high throughput sequencing
- patient groups
- cancer patients
- health information systems
- human genome
- high throughput
- breast cancer
- transcription factor binding sites
- experimental conditions
- prostate cancer
- systems biology
- statistical significance
- sequence data