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 ...

Prompt-based methods, which involve the careful design of inputs to guide large language model (LLM) outputs, are beginning to reshape bioinformatic analytical workflows. The authors compare ...