Find in @narjournal.bsky.social our latest kPPA-CART, a new effective framework for your multi-omics analysis.

👉https://academic.oup.com/nar/article/doi/10.1093/nar/gkaf844/8257763?utm_source=authortollfreelink&utm_campaign=nar&utm_medium=email&guestAccessKey=44031ac6-ca6c-47a7-bea5-f5a13e8e45e3

Proof?
• Improved breast cancer subtyping vs PAM50
• Links to survival + tumor mutational burden
• Free R package + web app for the community
👉 www.karakachlab.org/software/int...

The solution: kPPA-CART
It digs into those low-signal regions, integrates transcriptomics, proteomics & methylation data, and finds real biological meaning others miss.

What’s the problem? 🤔
Most computational tools in bioinformatics only detect strong, obvious signals. Subtle, low-intensity features (the ones that really matter for biology) get lost in the noise.

Like Dj Khalid, another one from the KarakachLab!
We just dropped kPPA-CART in @narjournal.bsky.social, a new machine learning method that finds hidden signals in messy multi-omics data. From kidney aging 🧬 to breast cancer 🎗️, it uncovers patterns others miss.
doi.org/10.1093/nar/...