Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences.
Hüseyin Anil GündüzSheetal GiriMartin BinderBernd BischlMina RezaeiPublished in: ICMLA (2023)
Keyphrases
- dna sequences
- learning models
- regulatory elements
- transcription factors
- machine learning
- loss function
- learning algorithm
- tandem repeats
- learning tasks
- binding sites
- coding regions
- human genome
- dna computing
- machine learning algorithms
- semi supervised learning
- conditional random fields
- motif discovery
- sequence patterns
- learning problems
- classification models
- genomic sequences
- transcription factor binding sites
- decision trees
- support vector
- maximum likelihood
- labeled data