Teaching Materials (1-9 of 9)

1. Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper

   23 Jul 2024 | Teaching Materials | Contributor(s):

   By Faye Orcales¹, Lucy Moctezuma², Meris Johnson-Hagler¹, John Suntay¹, Jameel Ali¹, Kristiene Recto¹, Pleuni Pennings, Ph.D¹

   1. San Francisco State University 2. California State University, East Bay

   Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...

   https://qubeshub.org/publications/4641/?v=2

2. Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper

   16 Feb 2024 | Teaching Materials | Contributor(s):

   By Faye Orcales¹, Lucy Moctezuma², Meris Johnson-Hagler¹, John Suntay¹, Jameel Ali¹, Kristiene Recto¹, Pleuni Pennings, Ph.D¹

   1. San Francisco State University 2. California State University, East Bay

   Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...

   https://qubeshub.org/publications/4641/?v=1

3. Machine Learning Meets Medicine with Jenessa Peterson

   20 May 2022 | Teaching Materials | Contributor(s):

   By Janessa Peterson¹, Megan Seifert²

   1. The Learning Agency 2. Headwaters Science Institute

   Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

   https://qubeshub.org/publications/3169/?v=1

4. CyVerse: Scalable Image Informatics

   27 Jul 2020 | Teaching Materials | Contributor(s):

   By Tyson Lee Swetnam¹, Edwin Skidmore², Tony Edgin², Ramona Walls², Eric Lyons², Nirav Merchant²

   1. University of Arizona BIO5 Institute, CyVerse 2. University of Arizona

   Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity

   https://qubeshub.org/publications/2006/?v=1

5. The ml4bio Workshop: Machine Learning Literacy for Biologists

   02 Jun 2019 | Teaching Materials | Contributor(s):

   By Fangzhou Mu¹, Chris Magnano¹, Debora Treu², Anthony Gitter¹

   1. University of Wisconsin - Madison 2. Morgridge Institute for Research

   Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference

   https://qubeshub.org/publications/1252/?v=1

6. DataCamp

   05 Nov 2018 | Teaching Materials

   DataCamp: The Easiest Way to Learn Data Science Online

   https://qubeshub.org/publications/913/?v=1

7. 50 Years of Data Science

   30 Oct 2018 | Teaching Materials | Contributor(s):

   By David Donoho

   Stanford University

   This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...

   https://qubeshub.org/publications/912/?v=1

8. An Introduction to Statistical Learning: with Applications in R

   23 Oct 2018 | Teaching Materials | Contributor(s):

   By Gareth James¹, Daniela Witten², Trevor Hastie³, Robert Tibshirani³

   1. University of Southern California 2. University of Washington 3. Stanford University

   This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

   https://qubeshub.org/publications/847/?v=1

9. Artificial Intelligence

   25 Jul 2018 | Teaching Materials | Contributor(s):

   By Kelly O'Donnell

   Science Forward

   This video explores what artificial intelligence is and features people who work on different aspects of intelligence. How do we make machines that think like humans? How can we tell when we’ve...

   https://qubeshub.org/publications/721/?v=1