Book Chapter Out: Morphological Data Analysis for Predictive Modelling

New Book Chapter: Morphological Data Analysis for Predictive Modelling

We are happy to share that a new protocol has been published in Methods in Molecular Biology (MIMB, Volume 2989) titled
“Morphological Data Analysis: From Descriptor Development to Predictive Modelling.” The chapter is based on work carried out during the first year of my PhD project and focuses on the computational analysis of morphological fingerprints derived from Cell Painting assays. These fingerprints capture quantitative information about cellular morphology, texture, and organelle organization, and can be used for downstream applications such as compound similarity search and activity prediction using machine learning methods.

The protocol provides a step-by-step overview of the analysis workflow and is organized into three main sections, each accompanied by Jupyter notebooks to support practical implementation.

Chapter is available here:
Read the protocol on Springer