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Fig. 3 | Genome Biology

Fig. 3

From: Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients

Fig. 3

Exogenous RNA-seq analysis. a Correlations between microbe relative abundances and the cell-type fraction table. b Correlation between microbe abundance and clinical information. Only significant correlations after FDR correction are shown. ACT, asthma control test score; Age.DX, age of asthma diagnosis; Age.SX.Onset, age of symptom onset; BDR, bronchodilator response; BMI, body mass index; FENO, forced expiratory nitric oxide; FEV1.FVC.postBD, the ratio of forced expiratory volume in 1 s to the forced vital capacity after treatment with a bronchodilator; FEV1.FVC.preBD, the ratio of forced expiratory volume in 1 s to the forced vital capacity before treatment with a bronchodilator; HIL, hospitalizations in lifetime; HPY, hospitalizations per year; ICS, average daily inhaled corticosteroid use; Number.of.OCS, average number of oral corticosteroids used; OCS.Total, lifetime total oral corticosteroid use. c Hierarchical clustering by phylum relative abundances shows a cluster enriched in severe asthmatics, driven by high abundances of Proteobacteria. d A co-abundance network of microbes with an overlay of LDA when network modules correlate with topic membership

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