Knowledge-guided statistical learning methods can be used to construct accurate models for predicting cancer risk, prognosis, and response; uncover molecular signatures that are predictive of cancer ...

Indeed, the methods presented in this Issue Brief —ranging from digit-based analysis to statistical modeling to outlier analysis to machine learning techniques—and others should be considered ...

Research in Tong’s Computational Data Science Lab focuses on two areas of computer science: Designing algorithms, the step-by-step instructions used by computer programs to complete specific tasks, ...

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but RIT professor Ernest Fokoué argues that applying it correctly requires equal parts science and art.

Statistical learning techniques can extract a "fingerprint" of climate change from the combination of temperatures of various regions and the ratio of expected warming and variability.

With Michigan Tech's Online MS in Applied Statistics, you, too, can build the specialized skills to meet the growing demand for statistics and data professionals. MTU's distance-learning, ...

Knowledge-Guided Statistical Learning Methods for Analysis of High-Dimensional -Omics Data in Precision Oncology Authors: Yize Zhao, PhD, Changgee Chang, PhD, and Qi Long, PhD [email protected] Authors ...