The Random Lounge (Tim's blog)
Generalized linear models
A dive into the theory behind GLMs. This post covers the GLM model, canonical and non-canonical link functions, optimization of the log-likelihood, and inference.
Genomics for Statisticians 3: Small- and large-scale single-cell sequencing
We overview single-cell RNA sequencing, at both small and large scales.
Genomics for statisticians 2: Next-generation sequencing, polymerase chain reaction
DNA sequencing lies at the core of modern genomic assays. Here, we discuss next-generation sequencing and the related technology of polymerase chain reaction.
Exponential families
The exponential family is a mathematical abstraction that unifies common parametric probability distributions. In this post we review the definition and basic properties of exponential families.
Gamma, Poisson, and negative binomial distributions
The gamma, Poisson, and negative binomial distributions are used extensively in genomics. In this post we review these distributions and their connections to one another. We also cover the various (and somewhat confusing) parameterizations of these distributions.
Genomics for statisticians 1: Enhancers
Enhancers are segments of DNA that increase the expression of a nearby gene. This post provides an overview enhancer biology and detection of enhancers at scale.