Let us assume the proposed chilled water plant optimization solution uses regression-type ML algorithms to predict the performance of a chiller. Linear regression is a supervised ML algorithm, where ...

Asger Hobolth, A Markov Chain Monte Carlo Expectation Maximization Algorithm for Statistical Analysis of DNA Sequence Evolution with Neighbor-Dependent Substitution Rates, Journal of Computational and ...

In the new study, the team took this line of research a step further. They employed a “structure-to-sequence” computer algorithm that can relate antibody structure determined by cryo-EM, to the DNA ...

In semi-supervised learning, a training sample comprises both labeled and unlabeled instances from each class under consideration. In practice, an important, yet challenging issue is the detection of ...

Baidu Inc.’s preclinical studies showed the mRNA vaccine sequences for COVID-19 designed using its Lineardesign algorithm outperformed the benchmark sequences designed by traditional algorithms in ...