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We approached this by identifying omics- features (i.e., expression, mutation, copy number, pathways, metabolites, etc.) that are predictive of NRF2 CRISPR knockout scores from the DepMap

Recent advances include a predictive machine learning framework utilizing as few as ten genomic variant features to accurately classify isolates as heteroresistant or susceptible, enabling rapid detection of micafungin heteroresistance in C

The distance between the device and cells was fixed to 1 cm, and 1

doi: 10.1002/emmm.201000120 195 LiuYHouDChenWLuXKomanieckiGPXuYet al

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