I’m constantly asked to explain what I do for a living. Here is an attempt to do so in laypersons’ terms. I’ll assume my readers are non-scientists and non-engineers, but that they’ve taken a high school biology class. “Bioinformatics” is the application of mathematics and computer science to biological data, particularly molecular biology data. By […]

# genetics

## the science of gender identity (part 4: summary)

To prepare for a book I intend to write on the science of gender identity, I drafted the following three blog posts to collect my thoughts. They are highly technical; I need to recast the content for the layperson. I also assembled some of my own biological data to analyze. The first blog post, http://badassdatascience.com/2015/06/06/sci-gender-identity-01/, […]

## the science of gender identity (part 1: genetics)

This is the first in a multi-part series surveying the current science of gender identity, particularly with regard to the transgendered population. I intend to discuss the genetic, brain anatomic, and neuropsychological findings of recent studies on the matter. As always, I will incorporate my own statistical analysis of raw study data wherever possible. Here […]

## comparing mRNA half-life survival curves

In my last post, I illustrated how the Kaplan-Meier estimator can be used to estimate the survival curve of mRNA half-lives. In this post I will expand on that analysis and show how to compare two mRNA half-life Kaplan-Meier curves, each corresponding to a measured gene outcome, to see if mRNA half-life differs between outcomes. […]

## mRNA half-life survival curve estimation

In a recent post, I demonstrated the use of the Kaplan-Meier estimator for estimating survival curves of fictional characters undergoing treatment in a fictional drug trial. Here I illustrate the Kaplan-Meier estimator on real data, data that is unique from normal survival analysis data in that the event under consideration is neither time until death […]