QUANTITATIVE LIFE SCIENCES INITIATIVE

Quantitative Life Sciences Initiative data science unlocks opportunities

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We conduct and coordinate data science research and training in the life sciences.

We are a university-wide, faculty-driven program to conduct research and create educational resources, expertise, and opportunities in data sciences for application in the life sciences. We work in multiple STEM disciplines — mathematics, statistics, computer science and engineering, bioinformatics, biological systems engineering, electrical engineering – to establish cross-campus linkages. These linkages enable transdisciplinary research, training and consulting with partners in the life sciences from academia, industry, and government.

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Our interdisciplinary staff consists of experts in the fields of mathematics, statistics, computer science and engineering, bioinformatics, biological systems engineering and electrical engineering. Get to know us better.

Predictive Statistics Cover

Predictive Statistics Textbook

Bertrand S. Clarke & Jennifer L. Clarke

All scientific disciplines prize predictive success. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach.

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