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Supporting materials for DART: distance assistant recurssive testing

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DART_function.R: functions for DART.
FDRL_function.R: functions for FDRL method from Zhang et.al, 2011.
Find_grids_parallel.R: code to find the tunning parameters.

In Simulation/ :

AALL_Normcomb.R: Simulation codes for (n,m,M)=(1000,300,3), including sensitivity analysis under different \tau.
AALL_M_Normcomb.R: Simulation codes for sensitivity under different M.
Plot_eta.R: functions for visualizing simulated hypotheses' affiliated location and their corresponding \eta_i (Figure A1).
Plot_Sensitivity_DART.R: functions for visualizing simulation results under different M and \tau.

In Data_Analysis/ :

clintest_new.RData: Cleaned microbiome data.
Dist0_new.RData: Distance matrix among ASVs.
taxtab_rdp_rc.RData: taxonomy information of each ASV.
Data_alldata.R: Generate the data analysis result.
Data_plot.R: Visualise the data analysis result.

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