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Apex

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Biomedical AI that uses gene expression data to identify molecular subtype of given breast cancer gene-set.

Ship #1 Pending review

After a lot of late nights, coding lessons and waayyy too much googling and chat gpt-ing (some of these errors genuinely can’t be fr), I’m finally sharing APEX v1.0 🙋‍♀️

APEX is a biomedical AI project, which explores how machine learning can be used to better understand genomic data (from the endless, underutilised gene dumps) and hence its manifestation via various diseases.

For this first version, I focused on breast cancer subtyping, specifically the molecular classifications of PAM50, using gene expression data to predict said subtypes through the characteristic levels of specific genes.

This project started out with me knowing basically nothing about machine learning or python, so getting this far feels like a reward in itself 😭.

It’s still an early prototype, and there’s a lot more I want to build and improve upon (so watch out for that).

But for now… here’s APEX v1.0 🙇‍♀️

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