Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Modeling the effect of DNA sequence variation on phenotypes such as gene expression faces unique challenges when deciphering inter-individual variation. This study presents a scalable and efficient ...