Fully unsupervised deep mode of action learning for phenotyping high-content cellular images

R Janssens, X Zhang, A Kauffmann, A de Weck… - …, 2021 - academic.oup.com
Motivation The identification and discovery of phenotypes from high content screening
images is a challenging task. Earlier works use image analysis pipelines to extract biological …

Batch effect removal via batch-free encoding

U Shaham - BioRxiv, 2018 - biorxiv.org
Biological measurements often contain systematic errors, also known as “batch effects”,
which may invalidate downstream analysis when not handled correctly. The problem of …

Machine learning for drug discovery and beyond

W Qian - 2022 - ideals.illinois.edu
The advent of digitized, large-scale, and high-throughput technologies has generated
unprecedented data, presenting an excellent opportunity for today's drug discovery program …