Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Has reproduction
DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.
PMID 41417875 · PMC12795466 · PLoS computational biology · 2025 · 7 claims · 4 setups
DAGFormer, a graph-based domain adaptation framework integrating bulk and scRNA-seq data, predicts single-cell drug responses more accurately than existing methods.
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Has reproduction · 73
RSK1 is an exploitable dependency in myeloproliferative neoplasms and secondary acute myeloid leukemia.
PMID 39820365 · PMC11739599 · Nature communications · 2025 · 8 claims · 8 setups
RSK1 is a conserved, exploitable therapeutic dependency across MPN and secondary AML
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Has reproduction · 71
Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.
PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 7 claims · 7 setups
AML patients can be categorized into two distinct PANRG-based clusters with differing prognosis and immune characteristics
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Has reproduction · 95
Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.
PMID 38974967 · PMC11225361 · iScience · 2024 · 7 claims · 7 setups
Luminal breast cancer gene expression signature is closely/positively associated with an epithelial signature
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Has reproduction · 62
scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.
PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups
scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer
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Has reproduction · 94
iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.
PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups
Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal