@@ -40,8 +40,9 @@ def ResamplingWithConstrain(samples1, samples2, b1, h1, b2, h2):
4040 #Write file with samples
4141 for sample_id in range (Samples_number ):
4242 for replica_id in range (Replicas_number ):
43+ path = '/N/slate/hlimadar/melanoma_v3/'
4344 folder = 'output_S' + str ("%06d" % sample_id )+ '_R' + str ("%02d" % replica_id )
44- file .write ("folder" + " " + folder + "\n " )
45+ file .write ("folder" + " " + path + folder + "\n " )
4546 # Set of parameters
4647 for id_par in range (0 , len (parameters )):
4748 file .write (parameters [id_par ]+ " " + str (samples [sample_id ,id_par ])+ "\n " )
@@ -112,7 +113,7 @@ def plot_samples(filename, label1, label2, default_value1, default_value2):
112113
113114if __name__ == '__main__' :
114115 parameters = np .array (["macrophage_max_recruitment_rate" ,"macrophage_recruitment_min_signal" ,"macrophage_recruitment_saturation_signal" ,"DC_max_recruitment_rate" ,"DC_recruitment_min_signal" ,"DC_recruitment_saturation_signal" ,"DC_leave_prob" ,"TC_death_rate" ,"T_Cell_Recruitment" ,"DM_decay" ])
115- default_value = np .array ([4e-9 , 0.1 , 0.3 , 2e-9 , 0.1 , 0.3 , 3.3e-9 , 1.4e-6 , 1.1e-4 , 3.5e-4 ])
116+ default_value = np .array ([4e-9 , 0.1 , 0.3 , 2e-9 , 0.1 , 0.3 , 2e-3 , 1.4e-6 , 1.1e-4 , 3.5e-4 ])
116117 variation = 1.0
117118 constrain = ([1 ,2 ],[4 ,5 ]) # parameters[1] < parameters[2] and parameters[4] < parameters[5]
118119 file = "ParameterSamples.txt"
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