NEUS 643: Stats for Neuroscientists

Course that applies statistics and machine learning using image processing.

course
Author

Ted Laderas

Published

April 1, 2020

Description

This is a full quarter course that teaches the basics of image processing, statistics, and machine learning using Bioconductor. It consists of an RStudio.cloud workspace and online lectures.

Learning Objectives

  • Learn and execute the basic steps of image analysis in R/Bioconductor.
  • Assess whether image processing algorithms are working correctly.
  • Understand basic spatial statistics and how to assess null models of spatial data.
  • Execute and Interpret basic spatial statistics on data that are involved with fluoresence microscopy analysis.

Citation

BibTeX citation:
@online{laderas2020,
  author = {Ted Laderas and Ted Laderas},
  title = {NEUS 643: {Stats} for {Neuroscientists}},
  date = {2020-04-01},
  url = {https://laderast.github.io//edu/2020-04-01-neus-643-stats-for-neuroscientists},
  langid = {en}
}
For attribution, please cite this work as:
Ted Laderas, and Ted Laderas. 2020. “NEUS 643: Stats for Neuroscientists.” April 1, 2020. https://laderast.github.io//edu/2020-04-01-neus-643-stats-for-neuroscientists.