Primer articles
- What is a hidden Markov model? (Primer 1)
- What is the expectation maximization algorithm? (Primer 2)
- How does eukaryotic gene prediction work? (Primer 3)
- How does DNA sequence motif discovery work? (Primer 4)
- Inference in Bayesian networks | A primer on learning in Bayesian networks for computational biology (Primer 5 & 6)
- What are decision trees? | What are artificial neural networks? | What is a support vector machine? (Primer 7 & 8 & 9)
- MCMC: Does it work? | Understanding the Metropolis-Hastings algorithm | Explaining the Gibbs Sampler (Primer 10 & 11 & 12)
Articles on Deep Learning
- Review: Deep learning for computational biology
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning (DeepBind)
- Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks
- Predicting effects of noncoding variants with deep learning–based sequence model (DeepSEA)
Paper presentation
- Semisoft clustering of single-cell data (group M+)
- Orchid: a novel management, annotation and machine learning framework for analyzing cancer mutations (group 2J)
- Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome (group JP)
- The human splicing code reveals new insights into the genetic determinants of disease
- Deep generative modeling for single-cell transcriptomics