Excited to share our new preprint showcasing a method to infer transparent, mechanistic network models of biological pathways using graph neural networks! www.biorxiv.org/content/10.1...

We then used our published method from @charliegbarker.bsky.social (Barker et al, Genome Research, 2022) to create a reference MASLD network by associating gene co-expression modules with histology scores, identifying key transcription factors regulating them and applying network reconstruction.

Excited to be working on gradient routing as part of Supervised Program for Alignment Research with Alex Cloud, Ariana Azarbal, Cailley Factor & Jorio Cocola. We hope to build safer AI by controlling where and how neural networks learn. See here for more: www.lesswrong.com/posts/tAnHM3...

🚨 New preprint!🚨 Tackling non-small cell lung cancer (NSCLC) adenocarcinoma with in silico models:

🌟 Models tumor pathways (EGFR, AKT, JAK/STAT, WNT)
🌟 personalized drug & radiotherapy combos
🌟 Identifies a signature for patient stratification

Excited to share our new preprint exploring the potential to personalise treatment for non-small cell lung cancer (NSCLC) using in silico modeling: www.biorxiv.org/content/10.1...

To get things started on Bluesky, here is a thread of the research I have been part of so far! For details on all of these and more, please see my website: mclarke1991.github.io

I got a bsky so that i could repost this!! Full publication to follow shortly but, would appreciate your feedback on the methods and results! 🔭🧪