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 ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

Here, we investigated the spatial diversity of DMSP, microbial communities, and their genetic capacity for DMSP synthesis and catabolism (Fig. 1) in SO seawater and sea ice during the austral winter ...

Genome editing lets scientists rewrite DNA, the instruction manual inside every living cell, with a precision that was unthinkable a generation ago. Technologies such as CRISPR have made this almost ...

The key contributions of this work are as follows: To the best of our knowledge, we introduce the first application of a Bayesian neural network framework that integrates evolutionary sequence ...

Network Models in Cancer: Advances in Systems-Level Insights and Precision Oncology ...