Biologists have used machine learning, a type of AI, to identify 'synthetic extreme' DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA sequences and ...

To improve the efficiency of machine learning, a learning model that can identify and generate instances of concepts such as "near", "above", "between", "nearest ...

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants across ...

The circadian clock is an important adaptation to life on Earth. Here, we use machine learning to predict complex, temporal, and circadian gene expression patterns in Arabidopsis. Most significantly, ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...