Pattern Recognition Method Zeroes in on Genes that Regulate Cell’s Genetic Machinery
May 13, 2003 | Source: KurzweilAI
Using a new technique for recognizing patterns in biological databases, a team of scientists and geneticists from Stanford University, Hebrew University and the Weizmann Institute has developed a practical computational method that zeroes in on the genes responsible for controlling the genetic machinery of a cell.
The new computational method makes the experimental process much more efficient. It identifies regulatory candidates for testing in the lab and predicts how each regulator will affect cellular activity.
The pattern recognition technique builds on statistical models and relational databases to look for patterns across many different data sources.