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2
Makefile
2
Makefile
@ -7,7 +7,7 @@ PYTHON_VERSION = 3.8
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PYTHON_INTERPRETER = python
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PYTHON_INTERPRETER = python
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# --- CLI flag 变量 ---
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# --- CLI flag 变量 ---
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MPNN_FLAG = $(if $(USE_MPNN),--use-mpnn,)
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MPNN_FLAG = $(if $(NO_MPNN),,--use-mpnn)
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DEVICE_FLAG = $(if $(DEVICE),--device $(DEVICE),)
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DEVICE_FLAG = $(if $(DEVICE),--device $(DEVICE),)
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SEED_FLAG = $(if $(SEED),--seed $(SEED),)
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SEED_FLAG = $(if $(SEED),--seed $(SEED),)
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N_TRIALS_FLAG = $(if $(N_TRIALS),--n-trials $(N_TRIALS),)
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N_TRIALS_FLAG = $(if $(N_TRIALS),--n-trials $(N_TRIALS),)
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55
data/processed/benchmark/feature_columns.txt
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data/processed/benchmark/feature_columns.txt
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smiles
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Cationic_Lipid_to_mRNA_weight_ratio
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Cationic_Lipid_Mol_Ratio
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Phospholipid_Mol_Ratio
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Cholesterol_Mol_Ratio
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PEG_Lipid_Mol_Ratio
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Purity_Pure
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Purity_Crude
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Mix_type_Microfluidic
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Mix_type_Pipetting
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Cargo_type_mRNA
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Cargo_type_pDNA
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Cargo_type_siRNA
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Target_or_delivered_gene_FFL
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Target_or_delivered_gene_Peptide_barcode
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Target_or_delivered_gene_hEPO
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Target_or_delivered_gene_FVII
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Target_or_delivered_gene_GFP
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Helper_lipid_ID_DOPE
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Helper_lipid_ID_DOTAP
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Helper_lipid_ID_DSPC
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Helper_lipid_ID_MDOA
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Model_type_A549
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Model_type_BDMC
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Model_type_BMDM
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Model_type_HBEC_ALI
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Model_type_HEK293T
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Model_type_HeLa
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Model_type_IGROV1
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Model_type_Mouse
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Model_type_RAW264p7
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Delivery_target_body
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Delivery_target_dendritic_cell
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Delivery_target_generic_cell
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Delivery_target_liver
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Delivery_target_lung
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Delivery_target_lung_epithelium
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Delivery_target_macrophage
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Delivery_target_muscle
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Delivery_target_spleen
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Route_of_administration_in_vitro
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Route_of_administration_intramuscular
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Route_of_administration_intratracheal
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Route_of_administration_intravenous
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Batch_or_individual_or_barcoded_Barcoded
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Batch_or_individual_or_barcoded_Individual
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Value_name_log_luminescence
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Value_name_luminescence
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Value_name_FFL_silencing
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Value_name_Peptide_abundance
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Value_name_hEPO
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Value_name_FVII_silencing
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Value_name_GFP_delivery
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Value_name_Discretized_luminescence
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quantified_delivery
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data/processed/benchmark/fold_0/train.parquet
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data/processed/benchmark/fold_1/test.parquet
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data/processed/benchmark/fold_3/test.parquet
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data/processed/benchmark/fold_3/train.parquet
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data/processed/benchmark/fold_4/test.parquet
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models/benchmark/config.json
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models/benchmark/config.json
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{
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"d_model": 256,
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"num_heads": 8,
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"n_attn_layers": 4,
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"fusion_strategy": "attention",
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"head_hidden_dim": 128,
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"dropout": 0.1,
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"use_mpnn": false,
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"mpnn_ensemble_paths": null,
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"lr": 0.0001,
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"weight_decay": 1e-05,
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"batch_size": 64,
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"epochs": 50,
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"patience": 10
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}
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