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Fig. 1 | Microbiome

Fig. 1

From: Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease

Fig. 1

Diagram of the different datasets used for classification in this study. Datasets in orange were derived from the shotgun metagenomic sequencing (MGS) data (n = 40) and the datasets in blue were derived from the 16S rRNA gene (16S) sequencing data (n = 38*). These datasets were used to classify both disease state and treatment response as input to random forest machine learning models. *Note two Crohn’s disease samples were removed from both the 16S sequencing and MGS datasets due to low sequencing coverage, but their genetic profile was inferred from the MGS

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