Table S1 - A Novel Unsupervised Method to Identify Genes Important in the Anti-viral Response: Application to Interferon/Ribavirin in Hepatitis C Patients

Contains 166 gene-days of 37 viral titer linked genes (probe sets). Not less than 3 gene-days of the gene have component PC2 values more than 5 (these gene-days are pink dots of the Fig. 4). The component PC2 is PCA second component after multidimensional scaling of 8 variables: correlation coefficients in the space of (52*51)/2 dimensions between Gcov_MVcov, GDcov_MVcov, Gcov_VTcov, GDcov_VTcov, Geu_MVeu, GDeu_MVeu, Geu_VTeu, GDeu_VTeu for all gene-days. Columns of the Table S1 are as follows: SID - Affymetrix probe set ID; DAY - day of the treatment; Static_CA_1013 - log-transformed and day0 normalized gene expression values [(Ln(di)- Ln(d0))] for a patient 1013. The response based classification of the patient and her/his race are identified in the patient's name; Slow_CA_1016; Rapid_AA_1018; .................. - 52 patients of the study; VTeu_Geu - the following 8 columns are correlations between corresponding vectors in the space of (52*51)/2 dimensions. These correlations are 8 initial variables for the multidimensional scaling procedure; VTeu_GDeu; MVeu_Geu; MVeu_GDeu; VTcov_Gcov; VTcov_GDcov; MVcov_Gcov; MVcov_GDcov; GENE_SYMBOL - the following are gene names and descriptions; LOCUSLINK; UNIGENE; GENBANK; GENE; SOURCE_ID; DESCRIPTION; PC1 - the multidimensional scaling first component; PC2 - the multidimensional scaling second component. (0.23 MB XLS)