Data analysis using R Answers to Assignment 9 Lecture 10 Part 1

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=NrBYw7Tm4VQ

Loading in micro array data, modelling 20.000 genes, pitfalls, visualizing residual variance, and multiple testing adjustment. • This is a live-stream recording of the 50+ hour MSc and PhD lecture series: Data analysis using the R language for statistical computing , given digitally during the Covid19 pandemic at the Humboldt University in Berlin organized and lectured by Dr Danny Arends. • #Lectures @ https://dannyarends.nl/lectures/ • #Programming #Assignments and #Answers @ https://dannyarends.nl/assignments/ • #Playlist: • Data analysis using R • Chapters: • 00:00 Welcome and exam information • 01:10 Answers to Assignment 9 • 02:25 Loading in the data in R and check.names() • 03:05 Looking at the micro array data • 04:59 Subset the data using which() • 06:41 Creating box plot and normalization using apply • 18:25 Linear modeling, response and predictors via the lm() function • 21:46 Extending the linear model, including tissue and strain effects • 26:53 Modeling 20.000 genes using a for loop • 31:15 New layout for next year and Doodle • 34:15 Multiple testing adjustment in R using p.adjust() • 40:42 Major pitfalls when modeling many genes and variables • 42:12 Linked expression in different tissues • 45:08 Residual adjustments and additional post hoc tests • 56:57 Freehand code, building up a plot in R • Thanks for taking an interest in my channel 😄If you've made it this far down, support me by giving a like or subscribing. Join me during my live streams Thursday afternoons on Twitch @ / dannyarends

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