All Categories (1-20 of 30)

1. 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

2. MAA Emergency Online Teaching Toolkit

   Collections | 27 Mar 2020 | Posted by Carrie Diaz Eaton

   https://qubeshub.org/community/groups/quant_bio_online/collections/tools-for-teaching-remotely

3. STATS4STEM

   Collections | 10 Oct 2019 | Posted by Megan A. Jones Patterson

   https://qubeshub.org/community/groups/neon2018/collections/data-centric-teaching-resources

4. A Primer for Computational Biology by Scott O'Neil

   Collections | 19 Jun 2018 | Posted by Sam S Donovan

   https://qubeshub.org/community/groups/summer2018/collections/data-science-resources

5. A Primer for Computational Biology by Scott O'Neil

   Collections | 13 Jun 2018 | Posted by Carlos C. Goller

   https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

6. Data Carpentry

   Collections | 13 Jun 2018 | Posted by Carlos C. Goller

   https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

7. Software Carpentry

   Collections | 13 Jun 2018 | Posted by Carlos C. Goller

   https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

8. Latex and Matlab tutorials by Erin Bodine

   Collections | 01 Jun 2017 | Posted by Carrie Diaz Eaton

   https://qubeshub.org/community/groups/mural/collections/foundational-andor-entry-level-modeling-courses

9. Learn to use R: Your hands-on guide

   Collections | 18 Jun 2016 | Posted by Drew LaMar

   https://qubeshub.org/community/groups/teaching_r/collections/internet-resources-for-learning-r

10. Confidence limits for the mean

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/abd/collections/visualizing-statistics

11. Sampling means from a normal distribution

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/abd/collections/visualizing-statistics

12. Learn to use R: Your hands-on guide

    Collections | 28 Jan 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/resources-for-r

13. Flowing Data

    22 Sep 2015 | Posted by Kristin Jenkins

    FlowingData (http://flowingdata.com/) is described by the blogger Nathan Yau as follows: FlowingData explores how statisticians, designers, data scientists, and others use analysis,...

    https://qubeshub.org/community/groups/scienceandmathbookclub/blog/2015/09/flowing-data

14. Learn to use R: Your hands-on guide

    Collections | 11 Sep 2015 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introquantbio/collections/learning-and-using-r

15. R Shiny Basics

    out of 5 stars 

    17 Aug 2015 | | Contributor(s):: Claire K. Lunch, Christine M. Laney

    A nice introduction to building apps with R Shiny. Written by the folks at NEON (National Ecological Observatory Network).

16. Agent-based and Individual-based Modeling: A Practical Introduction

    out of 5 stars 

    03 Jun 2015 | | Contributor(s):: Steven F Railsback, Volker Grimm

    From the authors website:  "We designed this book to fill the need for an introductory text on agent-based modeling for scientists, for use both in university courses (graduate or upper level undergraduate) and by people teaching themselves. The book is not specific to any particular...

17. R for biologists

    out of 5 stars 

    18 May 2015 | | Contributor(s):: Marco Martinez

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/815An introductory guide to data analysis in R for life sciences researchers.

18. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    out of 5 stars 

    24 Apr 2015 | | Contributor(s):: Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

19. Linear models and linear mixed effects models in R: Tutorial 1

    out of 5 stars 

    24 Apr 2015 | | Contributor(s):: Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...

20. QUBES How-to: Make a New Group

    out of 5 stars 

    21 Apr 2015 | | Contributor(s):: Rina Matsuda, QUBES Team

    This resource has been updated, view the Knowledge Base article here: https://qubeshub.org/kb/groups/newgroup