Datasets

Currently this site incorporates data from the following studies.

  • Lundberg, E. et al. Defining the transcriptome and proteome in three functionally different human cell lines. Mol Syst Biol 6, 450, doi:10.1038/msb.2010.106 (2010).
  • Schwanhausser, B. et al. Global quantification of mammalian gene expression control. Nature 473, 337-342, doi:nature10098 [pii] 10.1038/nature10098 (2011).
  • Nagaraj, N. et al. Deep proteome and transcriptome mapping of a human cancer cell line. Mol Syst Biol 7, 548, doi:10.1038/msb.2011.81 (2011).

A431

A-431 Expression Model

A linear model predicting the normalized IBAQ values (response variable) from the FPKM values (explanatory variable) has the following charcteristics:

P Value:< 2.2e-16
R^2:0.3067

U2OS

U-2O S Expression Model

A linear model predicting the normalized IBAQ values (response variable) from the FPKM values (explanatory variable) has the following charcteristics:

P Value:< 2.2e-16
R^2:0.2264

U-251 MG

U251MG Expression Model

A linear model predicting the normalized IBAQ values (response variable) from the FPKM values (explanatory variable) has the following charcteristics:

P Value:< 2.2e-16
R^2:0.2398

MCF7

MCF-7 Expression Model

A linear model predicting the normalized IBAQ values (response variable) from the FPKM values (explanatory variable) has the following charcteristics:

P Value:< 2.2e-16
R^2:0.3042

HELA

HeLa Expression Model

A linear model predicting the normalized IBAQ values (response variable) from the FPKM values (explanatory variable) has the following charcteristics:

P Value:< 2.2e-16
R^2:0.3102