Mercurial > repos > bimib > cobraxy
comparison COBRAxy/ras_to_bounds.py @ 106:1629671d4ca6 draft
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author | luca_milaz |
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date | Sun, 13 Oct 2024 14:01:03 +0000 |
parents | e3b3958c0d88 |
children | 58919e82d96e |
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105:e3b3958c0d88 | 106:1629671d4ca6 |
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194 for reaction in rxns_ids: | 194 for reaction in rxns_ids: |
195 model.reactions.get_by_id(reaction).lower_bound = float(df_FVA.loc[reaction, "minimum"]) | 195 model.reactions.get_by_id(reaction).lower_bound = float(df_FVA.loc[reaction, "minimum"]) |
196 model.reactions.get_by_id(reaction).upper_bound = float(df_FVA.loc[reaction, "maximum"]) | 196 model.reactions.get_by_id(reaction).upper_bound = float(df_FVA.loc[reaction, "maximum"]) |
197 | 197 |
198 if ras is not None: | 198 if ras is not None: |
199 Parallel(n_jobs=cpu_count())(delayed(process_ras_cell)(cellName, ras_row, model, rxns_ids, output_folder) for cellName, ras_row in ras.iterrows()) | 199 #Parallel(n_jobs=cpu_count())(delayed(process_ras_cell)(cellName, ras_row, model, rxns_ids, output_folder) for cellName, ras_row in ras.iterrows()) |
200 for cellName, ras_row in ras.iterrows(): | |
201 process_ras_cell(cellName, ras_row, model, rxns_ids, output_folder) | |
202 break | |
200 else: | 203 else: |
201 model_new = model.copy() | 204 model_new = model.copy() |
202 apply_ras_bounds(model_new, pd.Series([1]*len(rxns_ids), index=rxns_ids), rxns_ids) | 205 apply_ras_bounds(model_new, pd.Series([1]*len(rxns_ids), index=rxns_ids), rxns_ids) |
203 bounds = pd.DataFrame([(rxn.lower_bound, rxn.upper_bound) for rxn in model_new.reactions], index=rxns_ids, columns=["lower_bound", "upper_bound"]) | 206 bounds = pd.DataFrame([(rxn.lower_bound, rxn.upper_bound) for rxn in model_new.reactions], index=rxns_ids, columns=["lower_bound", "upper_bound"]) |
204 bounds.to_csv(output_folder + "bounds.csv", sep='\t', index=True) | 207 bounds.to_csv(output_folder + "bounds.csv", sep='\t', index=True) |