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Data Analysis and Cancer

Author(s): Lynn Marie Diener

Mount Mary University

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Summary:
This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis applying what they learned to their interpretation of…

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This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis applying what they learned to their interpretation of the data

Licensed under CC Attribution-NonCommercial-NoDerivatives 4.0 International according to these terms

Version 1.0 - published on 18 Dec 2019 doi:10.25334/BTAS-Z679 - cite this

Adapted from: The p53 Gene and Cancer v 1.0

Keywords

  1. Resources @ HHMI - BioInteractive
  2. Biochemistry
  3. molecular biology
  4. data interpretation
  5. Biological Data Analysis
  6. cell cycle
  7. macromolecules
  8. Genetic disease
  9. Cell signaling

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Inclusive Pedagogy for Life Science Education
Contents:
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