Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer.
Geoffroy Dubourg-FelonneauOmar DarwishChristopher ParsonsDami RebergenJohn W. CassidyNirmesh PatelHarry W. CliffordPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- belief nets
- neural network
- complex valued
- reservoir computing
- feed forward
- breast cancer
- echo state networks
- neural model
- recurrent networks
- feedforward neural networks
- artificial neural networks
- maximum likelihood
- hebbian learning
- early detection
- bayesian inference
- cascade correlation
- gene selection
- long short term memory
- input output
- prostate cancer
- gaussian processes
- long term
- bayesian networks
- artificial intelligence
- genetic algorithm