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Plot depicting estimated survival in patients based on time elapsed from the last event of heart attack. The data originate from Cox proportional hazards regression, a sophisticated statistical model.

The Kaplan-Meier (KM) graph depicting survival in two groups of patients characterized by either normal or increased BMI. Results of statistical evaluation (log-rank test) of the model are depicted.

Heatmap representing gene expression data from multiple mRNAseq experiments.

Illustration depicting a concept of linear regression. Linear regression is a model that describes relationship between two variables by fitting a linear equation to observed data.

Deviance vs hazard ratios (HR) graph of of residuals is used to examine the data for the presence of outliers. It is part of the validation of Cox regression model used commonly in biostatistics.

Graph depicting the capacity of four drugs to induce apoptosis. The caspase activity was measured in cancer cells exposed to the tested drugs.

Heatmap representing gene expression data from multiple mRNAseq experiments.

A heat map illustrating gene expression data. Heatmaps are commonly used to visualize RNA-Seq and microarray results.

Principal component analysis (PCA) graph. PCA is popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data

Dose-response curves demonstrating activity profiles of four different drugs acting on the same molecular target with varying inhibitory efficacy.

Standard curve generated for radioimmunoassay (RIA). Sigmoidal dose-response curve was fitted to experimental data to enable interpolation of data for studied samples.