Super.FELT: Supervised Feature Extraction Learning using Triplet loss for drug response prediction with multi‑omics data

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
preprocessing_for_binarizing		preprocessing_for_binarizing
AE_main.py		AE_main.py
ANNF_main.py		ANNF_main.py
AutoBorutaRF_genes.csv		AutoBorutaRF_genes.csv
AutoBorutaRF_main.py		AutoBorutaRF_main.py
GDSC_drugs.csv		GDSC_drugs.csv
MOLIF_main.py		MOLIF_main.py
MOLI_main.py		MOLI_main.py
README.md		README.md
SVM_main.py		SVM_main.py
SuperFELT_without_exprs.py		SuperFELT_without_exprs.py
Super_FELT_exprs_main.py		Super_FELT_exprs_main.py
Super_FELT_main.py		Super_FELT_main.py
Super_FELT_utils.py		Super_FELT_utils.py
all_GDSC_AE_main.py		all_GDSC_AE_main.py
all_GDSC_ANNF_main.py		all_GDSC_ANNF_main.py
all_GDSC_AutoBorutaRF_main.py		all_GDSC_AutoBorutaRF_main.py
all_GDSC_MOLI_main.py		all_GDSC_MOLI_main.py
all_GDSC_SVM.py		all_GDSC_SVM.py
all_GDSC_Super_FELT_E_main.py		all_GDSC_Super_FELT_E_main.py
all_GDSC_Super_FELT_MC_main.py		all_GDSC_Super_FELT_MC_main.py
all_GDSC_Super_FELT_main.py		all_GDSC_Super_FELT_main.py
all_MOLIF_main.py		all_MOLIF_main.py
models.py		models.py
utils.py		utils.py

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