Melpi Kasapi

LAVASET is an enhanced Random Forest method that can address correlation in datasets by grouping features based on different correlation metrics and creating fully interpretable latent variables; it reduces noise in feature importance and assigns more accurate importance values

Excited to share with everyone our new ML method, LAVASET, developed by @JmPosma and myself! Special thanks to Kexin Xu, @DrDeclanORegan, @drjamesware, and Tim Ebbels for their valuable input and data sharing. biorxiv.org/content/10.110…

CONFIRMED: Analysis of data obtained over the past 2 weeks by the #DARTMission team shows impact with Dimorphos has successfully altered the asteroid’s orbit by 32 minutes - marking the 1st time humans have changed the orbit of a celestial object in space! go.nasa.gov/3g2C5kp

RT @MujagicZlatan: 📢 Happy to share our new study on 🙍‍♀️🦠 host-microbiome interaction in #IBS ➡️ just published in #GutMicrobes Great col…

RT @JmPosma: Microbiome and metabolome data integration reflects stress and serotonin metabolism in IBS tandfonline.com/doi/full/10.10… great colla…

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