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Compare 2 groups
Test whether values differ between two conditions, such as a control vs. treatment group, or before/after in the same sample.
Student's t-test, Paired t-test, Wilcoxon signed-rank test, Welch t-test
📊
Compare 3 or more groups
Compare three or more conditions in parallel (e.g. by concentration). Also use this to track changes over time within a single sample type.
One-way ANOVA
🎛️
Compare 2 factors
Examine designs like "wild-type/mutant × drug treatment", or time-course changes across different individuals.
Two-way ANOVA
📈
Time course / repeated measures
Analyze data measured repeatedly from the same individuals, such as time-course changes or before/after drug administration.
Two-way Repeated Measures ANOVA
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Relationship (correlation)
Examine the correlation and regression line between two continuous variables, such as OD value and cell count.
XY Correlation
⛺
Survival analysis
Plot survival curves (Kaplan-Meier) and compare groups (log-rank test). Useful for cancer research and immunology.
Kaplan-Meier, Log-rank
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Saturation binding analysis
Calculate Bmax and Kd from ligand binding experiment data. Supports automatic separation of non-specific binding.
One-site Total Binding
📉
IC50 / EC50 analysis
Calculate the 50% inhibitory concentration from response rates vs. drug concentration. Performs sigmoidal fitting via logit transformation.
4-Parameter Logistic, IC50/EC50, Hill Slope
🧪
Enzyme kinetics analysis
Fit data to the Michaelis-Menten equation and calculate Vmax and Km. Supports 3 types of plots.
Michaelis-Menten, Lineweaver-Burk, Eadie-Hofstee
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Pharmacokinetics (PK) analysis
Estimate Cmax, Tmax, half-life (t1/2), AUC, and more from plasma concentration time-course data.
1-compartment model, Trapezoidal AUC