Abstract siRNA performance prediction calculations for a given siRNA may be divided into two broad categories: functions of the siRNA’s sequence, hereafter referred to as “intrinsic” properties of the siRNA, and functions of the target mRNA, hereafter referred to as “extrinsic” properties of the siRNA. When training a statistical or machine learning model to select […]

# mRNA

## examining mRNA complexity by annotation region using MapReduce

I became interested in how annotated mRNA regions (e.g., 5′ UTR, coding, and 3′ UTR) vary in information content, speculating that coding regions (CDS) of transcripts will be generally more complex than other regions due to their role in specifying protein recipes. Measuring sequence complexity using Shannon entropy validated this hypothesis, at least with regard […]

## 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 […]

## werewolf transcriptome conjecture

Lycanthropy—the sudden transformation of individuals into wolf-human chimeras during full moon periods—remains one of the least understood medical conditions persisting today. Researchers find investigation of the phenomenon doubly confounded by social stigma (who wants to tell a scientist that they are a werewolf?) and sampling difficulty (how many werewolves will actually sit still for a […]