metadata
language:
- en
license: mit
pretty_name: Polypharmacy Combination State Coherence Profiling v0.1
dataset_name: pharma-combination-state-coherence-profiling-v0.1
tags:
- clarusc64
- pharma
- polypharmacy
- combinations
- safety
- coherence
task_categories:
- tabular-regression
- tabular-classification
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
What this dataset tests
Whether a system can score multi drug combinations by system level coherence.
The focus is: cross system alignment early incoherence flags net functional shift
Required outputs
- combination_coherence_score
- dominant_response_basin
- cross_system_alignment_vector
- early_incoherence_flags
- net_functional_shift
Use case
Early screening for combination therapies. Find coherent combos. Flag brittle combos before trial spend.