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Cgensbigler/geo-treatment-response

GEO RNA-seq Treatment Response Dataset Pre-treatment RNA-seq studies with patient treatment response annotations, standardised to Entrez gene IDs and binary responder/non-responder labels. Studies included (1 total, updated 2026-05-04) GSE91061 (bulk): | n=51 | advanced melanoma (unresectable or metastatic) | Nivolumab (anti-PD-1) 3 mg/kg IV every 2 weeks; CA209-038 clinical study (NCT01621490); cohort includes ipilimumab-naive (n=33) and ipilimumab-progressed… See the full description on the dataset page: https://huggingface.co/datasets/Cgensbigler/geo-treatment-response.

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GEO RNA-seq Treatment Response Dataset

Pre-treatment RNA-seq studies with patient treatment response annotations, standardised to Entrez gene IDs and binary responder/non-responder labels.

Studies included (1 total, updated 2026-05-04)

—GSE91061 (bulk): | n=51 | advanced melanoma (unresectable or metastatic) | Nivolumab (anti-PD-1) 3 mg/kg IV every 2 weeks; CA209-038 clinical study (NCT01621490); cohort includes ipilimumab-naive (n=33) and ipilimumab-progressed (n=35) patients

Loading

python

from datasets import load_dataset, get_dataset_config_names

# List all studies
configs = get_dataset_config_names("Cgensbigler/geo-treatment-response")

# Load one study
ds = load_dataset("Cgensbigler/geo-treatment-response", name="gse91061_bulk_expression")

Schema

Each study config has two splits: *_expression (patients × Entrez gene IDs) and *_metadata (patient clinical + response annotations).

Response column: response_binary (1=responder, 0=non-responder, -1=ambiguous).