These classifications are based on large amounts of data inclusing clinical data, somatic mutations, gene and alternative transcript expression, or structural DNA modification, and involve high - dimensional
statistical machine learning techniques.
Not exact matches
«
Machine learning and applying
statistical techniques are suitable for repeatable experiments or applied to physical systems, which are predictable, where markets are not.»
Next, iCAGES cross-references these variants to databases of known cancer - causing genes, using
statistical analyses and
machine learning techniques to prioritize the most likely driver genes.
His DOE Early Career project is looking at applying
statistical and
machine learning techniques to exascale performance modeling.
I have experience as a
statistical modeler and analyst developing risk models using multivariate
techniques, marketing segmentation using clustering, process analysis using decision tree
machine learning techniques, and time series analysis for...
Wikipedia says «Predictive analytics encompasses a variety of
statistical techniques from modeling,
machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events».