Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach.
Pegah MavaieLawrence HolderDaniel BeckMichael K. SkinnerPublished in: BMC Bioinform. (2021)
Keyphrases
- machine learning
- coding regions
- dna sequences
- protein coding regions
- sequence analysis
- copy number
- rna sequences
- pattern recognition
- human genome
- deep learning
- genomic sequences
- computational biology
- computer vision
- text mining
- knowledge acquisition
- transcription factor binding sites
- machine learning methods
- genome sequences
- sequenced genomes
- region of interest
- information extraction
- decision trees
- sequence data
- explanation based learning
- binding sites
- image features
- data mining
- dna computing
- artificial intelligence
- input image
- natural language processing
- learning tasks
- image regions
- machine learning algorithms
- text classification
- statistical methods
- support vector machine
- computer science
- learning algorithm
- cis regulatory
- high throughput sequencing
- computational intelligence