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 · 86
Development of double-positive thymocytes at single-cell resolution.
PMID 33771202 · PMC8004397 · Genome medicine · 2021 · 7 claims · 8 setups
DP thymocytes can be classified into blast, rearrangement, and selection subtypes, distinguishable by surface markers CD2 and Ly6d
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scCNMF: an integrated analysis model for paired single-cell RNA sequencing and assay for transposase-accessible chromatin sequencing data leveraging cell similarity and cis-regulatory potential.
PMID 41800139 · PMC12962131 · PeerJ · 2026 · 7 claims · 2 setups
scCNMF is an NMF-based model for vertical integration of paired scRNA-seq and scATAC-seq data that jointly incorporates a cell similarity matrix and a cis-regulatory potential (CRP) matrix
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A latent activated olfactory stem cell state revealed by single-cell transcriptomic and epigenomic profiling.
PMID 41512864 · PMC12903091 · Stem cell reports · 2026 · 7 claims · 8 setups
HBC-derived regeneration proceeds via three distinct lineages (rHBC, Sus, mOSN) marked by sequential, lineage-specific transcription factor (TF) expression cascades.
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Heterochronic transcription factor expression drives cone-dominant retina development in 13-lined ground squirrels.
PMID 41649260 · PMC12880807 · eLife · 2026 · 8 claims · 8 setups
13LGS cone photoreceptors arise from both early-stage and late-stage neurogenic progenitors, unlike mice where cones arise only from early-stage progenitors
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BiCLUM: Bilateral contrastive learning for unpaired single-cell multi-omics integration.
PMID 41632825 · PMC12904586 · PLoS computational biology · 2026 · 8 claims · 5 setups
BiCLUM consistently outperforms or matches existing integration methods across multiple RNA+ATAC and RNA+protein datasets in visualization and quantitative benchmarks
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CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning.
PMID 41481570 · PMC12758788 · PLoS computational biology · 2026 · 8 claims · 7 setups
CellPredX is a unified semi-supervised framework integrating domain adaptation and deep metric learning to align heterogeneous embeddings for cross-modality cell type annotation.
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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