Ted Laderas, PhD: NEUS 643: Stats for Neuroscientists

Ted Laderas

NEUS 643: Stats for Neuroscientists

Course that applies statistics and machine learning using image processing.

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.

Links

Course Website Course Syllabus

Citation

For attribution, please cite this work as

Laderas (2020, April 1). Ted Laderas, PhD: NEUS 643: Stats for Neuroscientists. Retrieved from https://laderast.github.io/edu/2020-04-01-neus-643-stats-for-neuroscientists/

BibTeX citation

@misc{laderas2020neus,
  author = {Laderas, Ted},
  title = {Ted Laderas, PhD: NEUS 643: Stats for Neuroscientists},
  url = {https://laderast.github.io/edu/2020-04-01-neus-643-stats-for-neuroscientists/},
  year = {2020}
}