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mushroom2368/opioid-receptor-ordinal

Opioid receptor ordinal prediction — handover package Predicting ligand activity at the four opioid receptors (mu, delta, kappa, NOP) by decomposing each endpoint into monotone ordinal thresholds rather than regressing a value. The encoding admits censored records, keeps incommensurable endpoints separate, and puts the decision boundary in the model output. What is here Path Contents HANDOVER.md Read this first — environment, structure, known pitfalls… See the full description on the dataset page: https://huggingface.co/datasets/mushroom2368/opioid-receptor-ordinal.

sourceHugging Facecc-by-4.0updated 20d agoView on Hugging Face
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45a514720d ago

Upload GETTING_STARTED.md with huggingface_hub

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124f9f120d ago

Upload opioid_thesis.docx with huggingface_hub

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a23749720d ago

Upload HANDOVER.md with huggingface_hub

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caa822b20d ago

Upload opioid_receptor_project.tar.gz with huggingface_hub

mushroom2368
fb0879c20d ago

Clear partial upload; replacing with opioid-only archive

mushroom2368
28c92ea20d ago

add data/pretrain

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8ae9c1520d ago

add data/embeddings

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cbd247520d ago

add data/structures

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c7784ec20d ago

add data/meta

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0eefa1f20d ago

add data/reports

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aa37b6720d ago

add data/processed

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130e59820d ago

add figures

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83a9f4020d ago

Upload DrugBAN/efficacy_residues.py with huggingface_hub

mushroom2368
19ec63a20d ago

Upload DrugBAN/full_library_enrich.py with huggingface_hub

mushroom2368
aac29c220d ago

Handover package: code, curated data, checkpoint, figures

mushroom2368
dc6559a20d ago

Upload README.md with huggingface_hub

mushroom2368
13a788f20d ago

initial commit

mushroom2368