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 · 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 · 59
Single-cell transcriptomics reveals maturation of transplanted stem cell-derived retinal pigment epithelial cells toward native state.
PMID 37339216 · PMC10293804 · Proceedings of the National Academy of Sciences of the United States of America · 2023 · 8 claims · 8 setups
Subretinally transplanted stem cell-derived RPE (ESC- and iPSC-derived) retain RPE identity and survive in vivo for at least 30 days in immunocompetent rabbit eyes
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Has reproduction · 85
A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.
PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups
EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)
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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 · 98
Mutations in dnaA and a cryptic interaction site increase drug resistance in Mycobacterium tuberculosis.
PMID 33253310 · PMC7738170 · PLoS pathogens · 2020 · 7 claims · 8 setups
Non-synonymous mutations in dnaA are statistically associated with drug resistance (INH, RIF, SM) in clinical M. tuberculosis strains across two independent GWAS cohorts (China and Vietnam)