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clusterpval-experiments

Code to reproduce simulation results, figures, and real data analysis results from the paper "Selective inference for hierarchical clustering" by Lucy L. Gao, Jacob Bien, and Daniela Witten.

Organization

simulation-code

naive_type1.R produces the results displayed in Figures 1-2.

Running our_type1.R with this.sim.id between 1-6 produces the results displayed in Figure 4.

Running cond_power.R with this.sim.id between 1-3 produces the results displayed in Figure 5.

Running our_type1_est.R with this.sim.id between 1-4 produces the results displayed in Figure S1.

Running power.R with this.sim.id between 1-9 produces the results displayed in Figures S2-S3.

simulation-results

Contains the results from running the code in the simulation-code folder as described above.

figures

Produces Figures 1-6 in the paper and Figures S1-S3 in the supplement. All figures except Figures 3 and 6 depend on the simulation-results folder.

figures-code

Contains the results from calling the code in the figures-code folder.

real-data-code

The code to run the real data analysis in Section 6.1 is in penguins.R. Instructions on how to download the data can be found here.

The code to run the real data analysis in Section 6.2 is in zheng.R. The T-cell data can be downloaded here, the B-cell data can be downloaded here and the monocyte data can be downloaded here. You'll need to put the three resulting folders in the raw directory inside real-data-code and rename the three folders to 'filtered_matrices_mex_memory', 'filtered_matrices_mex_bcell', and 'filtered_matrices_mex_mono'.

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