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Compare 2 Groups
Compare values between 2 conditions, like Control vs Treated, or Pre/Post measurements of the same sample.
Student's t-test, Paired t-test, Wilcoxon signed-rank test, Welch t-test
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Compare 3+ Groups
Compare 3 or more conditions (e.g., multiple concentrations) in parallel.
One-way ANOVA
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Compare 2 Factors
Analyze designs like "Wild-type/Mutant ร With/Without Drug" or time-course data across different subjects.
Two-way ANOVA
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Time-Course / Repeated Measures
Analyze data repeatedly measured from the exact same subjects over time or pre/post treatment.
Two-way Repeated Measures ANOVA
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Correlation Analysis
Investigate the correlation and regression line between 2 continuous variables (e.g. OD vs Cell count).
XY Correlation
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Survival Analysis
Draw survival curves (KM method) and compare groups (Log-rank test).
Kaplan-Meier, Log-rank
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Saturation Binding
Calculate Bmax and Kd from ligand binding data. Automatically separates non-specific binding.
One-site Total Binding
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IC50 / EC50 Analysis
Calculate 50% inhibitory concentration from response rates. Performs sigmoidal fitting via logit transformation.
4-Parameter Logistic, IC50/EC50, Hill Slope
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Enzyme Kinetics
Fit 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)
Estimate Cmax, Tmax, Half-life (t1/2), and AUC from blood concentration time-course data.
1-compartment model, Trapezoidal AUC