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Additional file 2: of Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers
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posted on 2017-10-20, 05:00 authored by Yunguan Wang, Jaswanth Yella, Jing Chen, Francis McCormack, Satish Madala, Anil JeggaFigure S2. Principal Component analysis (PCA) plot characterized separation of IPF sample by three grouping methods. Distribution of IPF samples along the first two principal components derived from top 25% most variant genes are shown, and sample grouping were based on FVC (a), DLCO (b), or Ward clustering(C). Each point represents an IPF sample. (TIFF 282Â kb)