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Rafael Irizarry uploaded a video 3 years agoTeaching least squares to a 5th grader by calibrating a robot - Duration: 7 minutes, 31 seconds.
We motivate least squares by trying to figure out how many wheel rotations we need for a programmable robot to travel exactly one meter. Note you can extend this lesson to include an application of... -
Rafael Irizarry uploaded a video 3 years ago
Talk pitching applied statistics to math majors - Duration: 37 minutes.
BiostatisticsforMathMajors.mp4 -
Rafael Irizarry posted 4 years ago
This is an interview rather than a lecture, but I am sharing it as I think some of you might find it interesting.
Rafael Irizarry - Duration: 12 minutes.
Rafael Irizarry (http://rafalab.jhsph.edu/) sits down with John McGready to discuss the relevance of statistics in all research scenarios, with a focus on microbiology and genomics. Rafa is a pro... -
Rafael Irizarry uploaded a video 4 years ago
Statistics for Genomcs: Distances and Clustering - Duration: 24 minutes.
I explain the mathematical concept of distance. Then k-means and hierarchical clustering are described. Genotyping from SNP chips and gene expression profiles are used as examples. -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Batch Effects - Duration: 37 minutes.
I describe the batch effect in some detail. Jeff Leek then explains some solutions. -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: DNA methylation - Duration: 1 hour, 10 minutes.
I briefly explain the biology of DNA methylation, CpG Islands and measurement technology (microarrays and sequencing). I also go over some of recent results made possible with these technologies.- CC
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Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: RMA and fRMA - Duration: 35 minutes.
The models behind RMA and fRMA explained. At the end quality assessment comes up and I show some examples of the utility of the RMA model.- CC
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Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Normalization - Duration: 42 minutes.
The need for normalization is motivated and the solutions are described. Specifically, quantile normalization and loess normalization are described in some detail. -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics Lab: Distances and Clustering - Duration: 8 minutes, 36 seconds.
This lab shows some simple R commands for creating dendrograms and MDS plots. -
Rafael Irizarry uploaded a video 5 years ago
Statistics and Genomics: Background correction - Duration: 31 minutes.
I motivate and describe the normal+exponential model used by RMA to background correct microarray intensities. I also describe the sequence based correction used by GCRMA -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Intro to Alignment - Duration: 43 minutes.
In this video (recorded live in class) Ben Langmead gives an introduction to short read alignment. He starts with a short introduction of the technology. Ben is the developer of Bowtie and many oth... -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Intro to Next Generation Sequencing - Duration: 33 minutes.
In this video (recorded live in class) I give a brief introduction to next generation sequencing. I describe the technology and some of its applications. In a related video Ben Langmead will explai... -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Probe Effects - Duration: 20 minutes.
We describe the probe effect and potential pitfalls if you ignore it. We also describe the basic ideas behind the gene expression barcode. Towards the end we show how probe effects affect SNP array... -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Introduction to RNAseq - Duration: 1 hour, 17 minutes.
Kasper Hansen gives an introduction to RNAseq and relevant computational and statistical issues -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics Lab: Quick Introduction to R and Bioconductor - Duration: 39 minutes.
We describe several key functions: read.csv, rowMeans, subsetting with "[", for example.
This video was recorded live in class and at the beginning I give an example of an editor with special feat... -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Introduction to Statistics - Duration: 30 minutes.
In this lecture I introduce the basics of statistical inference. Gene expression data is used as an illustrative example. I define t-tests and p-values. -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Advanced Differential Expression - Duration: 24 minutes.
This video give a brief introduction to empirical Bayes using baseball as an example. Then we describe a little bit of the math behind the methods used my limma. For a basic intro to inference see ... -
Rafael Irizarry uploaded a video 5 years ago
Statistcs for Genomics: Base Calling in Next Gen Data - Duration: 24 minutes.
I describe base calling for next generation sequencing data. -
Rafael Irizarry uploaded a video 5 years ago
Statistics for Genomics: Useful plots and bad plots - Duration: 17 minutes.
For the first 8 minutes, we cover useful techniques like the MA plot and the volcano plot. We then go through Karl Broman's slides on bad plots.
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