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Data analysis using R - Linear mixed model example in the BFMI - Lecture 10 (Part 3) Analytics Table

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Example on how linear mixed models are used to model growth curves in The Berlin fat mouse inbred (BFMI) line using the R programming language, one of the most important tools in data science. 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: https://www.youtube.com/playlist?list=PLhR2Go-lh6X6ZJnN4WQScB4qjO4GYTO0S Chapters: 00:00 Welcome back 00:16 Linear mixed model multiple QTL time series mapping 00:48 Overview of the lecture 02:37 Super short introduction to linear mixed models 04:16 Linear mixed models the Wikipedia example 06:52 Introduction to Multiple QTL mapping (MQM) 19:28 Different models for different markers 20:42 The Berlin fat mouse inbred (BFMI) line 24:37 Material and methods 26:08 Some words about model selection 26:46 Model selection example with highly correlated phenotypes 31:31 Step-wise selection approach to modeling growth curves 35:09 Step-wise visualization of linear mixed models 41:20 Scanning the genome, QTL mapping and results 44:15 Novel QTL discovery near a large effect locus 45:26 Segregation distortion in a QTL can identify the causal gene 48:05 Conclusions, Discussion, and Overview 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 @ https://www.twitch.tv/dannyarends

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