The Random Lounge (Tim’s blog)


The Random Lounge (Tim's blog)

Genome-wide association studies

Genomics

An overview of genome-wide association studies.

Generalized linear models

Statistics

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

Genomics

We overview single-cell RNA sequencing, at both small and large scales.

Genomics for statisticians 2: Next-generation sequencing, polymerase chain reaction

Genomics

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

Statistics

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

Statistics

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

Genomics

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.