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 ...

Utilizing SERS for protein detection offers high sensitivity and label-free analysis, advancing proteomics and biomarker ...