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 · 5 setups
DAGFormer constructs cellular neighbor graphs using diverse topological strategies to represent intercellular interactions for drug response prediction
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Has reproduction · 81
Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.
PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups
SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains
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DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.
PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups
DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.
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scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments.
PMID 42056283 · PMC13128840 · Scientific reports · 2026 · 7 claims · 1 setups
scDecorr learns robust cell representations of unlabelled single-cell experiments in a negative-sample-free self-supervised fashion using feature decorrelation
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Has reproduction · 50
huSA: a comprehensive database for multi-dimensional resolution of bulk, single cell and spatial transcription profiles in skin diseases.
PMID 41719583 · PMC12923168 · Database : the journal of biological databases and curation · 2026 · 7 claims · 8 setups
huSA is a comprehensive, publicly accessible database integrating bulk RNA-seq, scRNA-seq, and spatial transcriptomics data across 17 skin diseases and 63 independent datasets
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Has reproduction · 84
Monocytes serve as Shiga toxin carriers during the development of hemolytic uremic syndrome.
PMID 39871175 · PMC11773931 · Cellular & molecular biology letters · 2025 · 8 claims · 8 setups
Monocytes are the primary carriers that transport Stx2 from the periphery to the kidney during STEC-induced HUS
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Notch3 regulates pericyte phenotypic plasticity in colorectal cancer.
PMID 41618002 · PMC12960917 · Communications biology · 2026 · 8 claims · 8 setups
Murine tumor pericytes originate from normal tissue-resident pericytes that proliferate inside tumors
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Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.
PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups
CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data
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Redefinition of the toll-like receptor repertoire in Ciona robusta through genomic, structural, and expression analyses.
PMID 41568004 · PMC12816324 · Frontiers in cellular and infection microbiology · 2025 · 8 claims · 8 setups
CiTLR13 is a redundant annotation of CiTLR1 (same genomic locus, >94% sequence identity), so it is not a distinct TLR gene
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iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.
PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups
iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data
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Spatial Transcriptomics of Human Decidua Identifies Molecular Signatures in Recurrent Pregnancy Loss.
PMID 41031483 · PMC13242933 · Genomics, proteomics & bioinformatics · 2026 · 7 claims · 8 setups
The human decidua contains two coherent spatial domains, the implantation zone (IZ) and glandular-secretory zone (GZ), corresponding to the decidua compacta and spongiosa
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scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning.
PMID 41507436 · PMC12859067 · Communications biology · 2026 · 7 claims · 7 setups
scXDR outperforms seven methods that transfer drug response information from bulk RNA-seq to single-cell data, across all four evaluated scenarios
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Uropathogenic Escherichia coli invade luminal prostate cells via FimH-PPAP receptor binding.
PMID 41507584 · PMC12872464 · Nature microbiology · 2026 · 8 claims · 8 setups
A 2D mouse stem cell-derived prostate epithelial organoid model was developed that mimics epithelial heterogeneity of the murine prostate
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Benchmarking LLM-based agents for single-cell omics analysis.
PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups
Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks
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Cosmopolitan Gene Families With Known Functions Are Hotspots for the Evolution of Novel Genes in Stony Corals.
PMID 41873503 · PMC13044578 · Genome biology and evolution · 2026 · 8 claims · 8 setups
Dark gene families in corals form cosmopolitan (broadly shared) families that originated via bursts of lineage-specific duplication, often from genes with known function
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Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.
PMID 42045691 · PMC13175893 · Nature genetics · 2026 · 6 claims · 7 setups
INSPIRE is a deep-learning method that unifies adversarial learning with a GNN-based encoder and integrated NMF to interpretably integrate multiple spatial transcriptomics datasets