# Rafael Irizarry

• ### Teaching least squares to a 5th grader by calibrating a robot - Duration: 7 minutes, 31 seconds.

• 3 years ago
• 1,960 views
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...
• ### Talk pitching applied statistics to math majors - Duration: 37 minutes.

• 3 years ago
• 2,957 views
BiostatisticsforMathMajors.mp4
• 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.

• 4 years ago
• 2,818 views
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...
• ### Statistics for Genomcs: Distances and Clustering - Duration: 24 minutes.

• 4 years ago
• 18,900 views
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.
• ### Statistics for Genomics: Batch Effects - Duration: 37 minutes.

• 4 years ago
• 3,386 views
I describe the batch effect in some detail. Jeff Leek then explains some solutions.
• ### Statistics for Genomics: DNA methylation - Duration: 1 hour, 10 minutes.

• 4 years ago
• 11,697 views
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
• ### Statistics for Genomics: RMA and fRMA - Duration: 35 minutes.

• 4 years ago
• 2,178 views
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
• ### Statistics for Genomics: Normalization - Duration: 42 minutes.

• 4 years ago
• 6,490 views
The need for normalization is motivated and the solutions are described. Specifically, quantile normalization and loess normalization are described in some detail.
• ### Statistics for Genomics Lab: Distances and Clustering - Duration: 8 minutes, 36 seconds.

• 4 years ago
• 4,482 views
This lab shows some simple R commands for creating dendrograms and MDS plots.
• ### Statistics and Genomics: Background correction - Duration: 31 minutes.

• 4 years ago
• 1,753 views
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
• ### Statistics for Genomics: Intro to Alignment - Duration: 43 minutes.

• 4 years ago
• 18,263 views
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...
• ### Statistics for Genomics: Intro to Next Generation Sequencing - Duration: 33 minutes.

• 4 years ago
• 24,990 views
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...
• ### Statistics for Genomics: Probe Effects - Duration: 20 minutes.

• 4 years ago
• 835 views
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...
• ### Statistics for Genomics: Introduction to RNAseq - Duration: 1 hour, 17 minutes.

• 4 years ago
• 52,170 views
Kasper Hansen gives an introduction to RNAseq and relevant computational and statistical issues
• ### Statistics for Genomics Lab: Quick Introduction to R and Bioconductor - Duration: 39 minutes.

• 4 years ago
• 19,107 views
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...
• ### Statistics for Genomics: Introduction to Statistics - Duration: 30 minutes.

• 4 years ago
• 7,882 views
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.
• ### Statistics for Genomics: Advanced Differential Expression - Duration: 24 minutes.

• 4 years ago
• 6,154 views
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 ...
• ### Statistcs for Genomics: Base Calling in Next Gen Data - Duration: 24 minutes.

• 4 years ago
• 3,174 views
I describe base calling for next generation sequencing data.
• ### Statistics for Genomics: Useful plots and bad plots - Duration: 17 minutes.

• 4 years ago
• 5,786 views
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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