As well as learning to recognize patterns in DNA sequences, machine learning algorithms can use input data generated by other genomic assays — for example, microarray or RNA sequencing (RNA-seq ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns ... of text are found in sequence with other ...

Kathleen Walch covers AI, ML, and big data ... to repeat often, and for good reason as it has broad applicability. The goal of the Patterns and Anomalies pattern of AI is to use machine learning ...

But the patterns underlying the bright jets were difficult to pick out from the noise. Instead, the scientists took an approach new to the field: machine learning. By running the data through a ...

The use of this machine learning method allows us to get a clear picture of treatment sequences ... patterns smaller than a week for 10 patients. Finally, we deleted nonsensical artifacts (eg, ...