Publications by John Ramey
Chapter 2 Solutions – Statistical Methods in Bioinformatics
As I have mentioned previously, I have begun reading Statistical Methods in Bioinformatics by Ewens and Grant and working selected problems for each chapter. In this post, I will give my solution to two problems. The first problem is pretty straightforward. Problem 2.20 Suppose that a parent of genetic type Mm has three children. Then the parent...
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Setting Up the Development Version of R
My coworkers at Fred Hutchinson regularly use the development version of R (i.e., R-devel) and have urged me to do the same. This post details how I have set up the development version of R on our Linux server, which I use remotely because it is much faster than my Mac. First, I downloaded the R-devel source into ~/local/, which is short for /hom...
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High-Dimensional Microarray Data Sets in R for Machine Learning
Much of my research in machine learning is aimed at small-sample, high-dimensional bioinformatics data sets. For instance, here is a paper of mine on the topic. A large number of papers proposing new machine-learning methods that target high-dimensional data use the same two data sets and consider few others. These data sets are the 1) Alon colon...
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A Brief Look at Mixture Discriminant Analysis
Lately, I have been working with finite mixture models for my postdoctoral work on data-driven automated gating. Given that I had barely scratched the surface with mixture models in the classroom, I am becoming increasingly comfortable with them. With this in mind, I wanted to explore their application to classification because there are times wh...
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MLB Rankings Using the Bradley-Terry Model
Today, I take my first shots at ranking Major League Baseball (MLB) teams. I see my efforts at prediction and ranking an ongoing process so that my models improve, the data I incorporate are more meaningful, and ultimately my predictions are largely accurate. For the first attempt, let’s rank MLB teams using the Bradley-Terry (BT) model. Before...
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