Supplementary Table 2 from The Reconstruction of Transcriptional Networks Reveals Critical Genes with Implications for Clinical Outcome of Multiple Myeloma
BackgroundSeveral studies have suggested that anti-silencing function 1 B (ASF1B) can serve as a good potential marker for predicting tumor prognosis. But the values of ASF1B in gliomas have not been
Kaplan-Meier curves with univariate analyses (log-rank) for patients withTMPRSS4-positive/Erk1-negative, TMPRSS4-positive/Erk1-positive, TMPRSS4-negative/Erk1-positive and TMPRSS4-negative/Erk1-negati
Additional file 4: Table S1. The strong Spearman’s correlation (Rho>0.5 & P<0.05) between the thirty most abundant genera was calculated in HC&MM samples (a), HC samples (b), and MM samp
Transcriptome sequencing was used to analyze changes in related signaling pathways and gene expression in Mutiple Myeloma cells when CHEK1 was overexptressed or knocked down. Examination of eight cel
