Charlie Barker

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Outline of the workflow and basic fitting of a computational model to the literature derived specification using MAGELLAN

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...

Lung cancer cells can go ‘off grid’ Researchers from the Francis Crick Institute have found that some particularly aggressive lung cancer cells can develop their own electric network, like that seen in the body’s nervous system. This un...

Crick researchers have found that certain aggressive lung cancer cells can develop their own electric network, similar to the body’s nervous system.

This can allow tumour cells to go ‘off grid,’ making them harder to treat.
www.crick.ac.uk/news/2025-02...

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.

Predicting Personalised Therapeutic Combinations in Non-Small Cell Lung Cancer Using In Silico Modelling The disease burden from non-small cell lung cancer (NSCLC) adenocarcinoma is substantial, with around a million new cases diagnosed globally each year, and a 5-year survival rate of less than 20%. A l...

Thank you to my co-author @maclarke.bsky.social for making this such a great paper!
Link :

www.biorxiv.org/content/10.1...

🚨 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

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! 🔭🧪