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Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models

Article discussing the semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.

Date: October 26, 2010

Creator: Caragea, Cornelia; Caragea, Doina; Silvescu, Adrian & Honavar, Vasant

Partner: UNT College of Engineering

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Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB

This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved un… more

Date: June 26, 2021

Creator: Xiao, Ting; Greenberg, Ronald I. & Albert, Mark

Partner: University of North Texas

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Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models

Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB