Stan on Local Optima

Bespoke Bayesian Model for Batch Effects in High Throughput Biochemical Assays

Sun, 19 Mar 2023 00:00:00 +0000

Code for this project: github.com/AnHosu/bespoke-bayesian-biochem

batch-effects

In previous studies, we built bespoke Bayesian models to fit observations from a biochemical assay with kinetics that could be represented by the Hill equation. Then we scaled that up to a screening experiment. In those studies, our main goal was to achieve good fits for kinetic parameters.

Bespoke Bayesian Model for High Throughput Biochemical Assays

Sat, 23 Apr 2022 00:00:00 +0000

Code for this project: github.com/AnHosu/bespoke-bayesian-biochem

Bespoke Bayesian Model for Biochemical Assays

Sat, 20 Nov 2021 00:00:00 +0000

Code for this project: github.com/AnHosu/bespoke-bayesian-biochem

I am on a quest to improve the model fitting I do on biochemical assays. For some time, I have had this feeling that I should be able to extract more information from the data gathered in biochemical assays, in particular assays with a high throughput. I have been using classical machine learning techniques and generic fitting and optimisation functions to interpret data from such assays. While this approach works, it also neglects much of the available domain expertise. Many of the underlying biochemical mechanisms are known and I would like my models to take that into account so I get results that are more directly interpretable in the context of the hypothesis that required the assay in the first place. In other words, I want a bespoke model.