Published May 16, 2024 | Version v1
Dataset Open

Baseline embeddings from the BBBC022 dataset used in "Semisupervised contrastive learning for bioactivity prediction using Cell Painting image data"

Authors/Creators

  • 1. Leibniz-Forschungsinstitut für Molekulare Pharmakologie

Description

3 Baseline embeddings aclculated from the BBBC022 dataset. A self-supervised contrastive learning-based model, DINO and CellProfiler were used  to calculate the embeddings.

Files

allemb_unsupbs40_bbbc22_5CJ_con_meshupd.csv

Files (3.3 GB)

Name Size
md5:9161901966f4bd150652337edbe45bc9
646.2 MB Preview Download
md5:a0951dbca8126b217d5db1b145890fde
290.9 MB Preview Download
md5:562af2c35a689ea0a19000c9847b87a1
2.4 GB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1021/acs.jcim.4c00835# (DOI)

Software

Repository URL
https://github.com/AGSun-FMP/CP_SemiSupCon