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Machine Learning Analysis of RB-TnSeq Fitness Data Predicts Functional Gene Modules in Pseudomonas Putida KT2440.

mSystems(2024)

Cited 1|Views30
Key words
transposon insertion sequencing,RB-TnSeq,independent component analysis,machine learning,Pseudomonas putida,aromatic catabolism,amino acid metabolism,functional genomics
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