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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PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.
PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups
PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.
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Isoform-specific single-cell perturb-seq reveals distinct functions of alternative promoters in drug response.
PMID 41728950 · PMC12926921 · Nucleic acids research · 2026 · 5 claims · 8 setups
CRISPR-dCas9-based screens exhibit widespread promoter specificity, with untargeted promoters often showing compensatory upregulation to maintain overall gene expression
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Dissecting gene regulatory networks governing human cortical cell fate.
PMID 41565813 · PMC12999477 · Nature · 2026 · 8 claims · 6 setups
ZNF219, a previously uncharacterized transcription factor, represses neural differentiation in human cortical radial glia
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scMILD: Single-cell multiple instance learning for sample classification and associated subpopulation discovery.
PMID 41907409 · PMC13019583 · iScience · 2026 · 8 claims · 8 setups
scMILD identifies condition-associated cells using only sample-level labels via a dual-branch MIL architecture with a shared encoder
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Spatial perturb-seq: single-cell functional genomics within intact tissue architecture.
PMID 41723140 · PMC13035813 · Nature communications · 2026 · 8 claims · 8 setups
Spatial Perturb-Seq simultaneously measures whole transcriptome (cell type), CRISPR barcodes (perturbation), spatial coordinates, and cell-cell interactions through a single Stereo-seq and/or Xenium run.
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Atlas-guided discovery of transcription factors for T cell programming.
PMID 41639465 · PMC13017511 · Nature · 2026 · 8 claims · 8 setups
A multi-omics atlas (Taiji pipeline) integrating RNA-seq and ATAC-seq across nine CD8+ T cell states can predict TF activity and identify state-selective versus multi-state TFs
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Systematic background selection with BasCoD enhances contrastive dimension reduction in single cell genomics.
PMID 41844632 · PMC13144610 · Nature communications · 2026 · 8 claims · 7 setups
BasCoD is a statistical testing framework using spectral subspace inclusion theory to evaluate whether a candidate background dataset is suitable for contrastive dimension reduction of a target dataset
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Embeddings from language models are good learners for single-cell data analysis.
PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups
scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model