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MOESM9 of Heterogeneity in HIV and cellular transcription profiles in cell line models of latent and productive infection: implications for HIV latency
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posted on 2019-11-12, 05:04 authored by Sushama Telwatte, Sara Morón-López, Dvir Aran, Peggy Kim, Christine Hsieh, Sunil Joshi, Mauricio Montano, Warner Greene, Atul Butte, Joseph Wong, Steven YuklAdditional file 9: Fig. S6. Principal component analysis. Correlation coefficients of top principal components and 95 genes. Each row represents a different dimension in the PCA analysis; each column indicates a different cellular gene or HIV target. No expression of TIGIT was detected and was subsequently excluded from further analysis. The color scale (right) denotes Pearson coefficients. Dendrograms (above) show unsupervised clustering.