Expression Browser



This web tool provides different types of analysis to explore gene and miRNA expression. Moreover, a survival analysis and a correlation plot of the expression of two genes can be also performed.






















              

            

PLOT PANEL

Shows the expression profile for each probe in the selected gene and for each covariate value.

USAGE AND PARAMETERS
  1. Enter a gene name.

  2. Select the probes to display.

  3. Covariates
    • Choose a covariate to perform the analysis (default = tissue).

    • Filter the values of the different available covariates.

  4. Expression range: y-coordinate adjustment.

  5. Show Adjacent Tumor paired samples in the plot as grey lines.




SURVIVAL PANEL

Shows the Kaplan-Meiers estimator plot and table for a selected probe in Adjacent Normal and Tumor tissues.

USAGE AND PARAMETERS
  1. Enter a gene name.

  2. Select a probe to display.

  3. Filter the values of the different available covariates.

  4. Select the type of survival (Desease free or Overall Survival)

  5. Number of groups to categorize expression.

  6. Cutpoints to categorize expression.

  7. Time to estimate S(T) in the bottom table.

  8. Max time: x-coordinate adjustment.

  9. Min Surv: y-coordinate adjustment.




CORRELATION PANEL

Shows the correlation between two probes in two different selected genes for each covariate value.
  • if the selected covariate is tissue a first plot of the first selected probe expression vs the second selected probe expression and a second plot of the difference between paired adjacent and tumoral samples are displayed.

  • if the selected covariate is not tissue a plot of the first selected probe expression vs the second selected probe expressio is displayed for each covariate value.
The correlation coefficient is shown in the plot title as well as, for each value of tissue, in the bottom table. Paired samples are joined by a gray line.

USAGE AND PARAMETERS
  1. Enter a gene name.

  2. Enter another gene name.

  3. Select a probe from the first gene.

  4. Select a probe from the second gene.

  5. Correlation method: The available methods are Pearson's r (default), Kendall's tau and Spearman's rho.

  6. Display regression line

  7. Covariates
    • Choose a covariate to perform the analysis (default = tissue).

    • Filter the values of the different available covariates.