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).

• scDEBGCL: a deep embedding approach based on bipartite graph contrastive learning for single-cell RNA-seq data.

  PMID 41981652 · PMC13188691 · BMC biology · 2026 · 7 claims · 3 setups

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  scDEBGCL is a deep embedding method for scRNA-seq data based on bipartite graph contrastive learning, integrating contrastive learning, graph reconstruction, and ZINB-based data reconstruction losses.

  nine yan dpt scrna-seq trajectory

• Benchmarking tools for deciphering cellular crosstalk in spatially-resolved transcriptomics.

  PMID 41952215 · PMC13174004 · Genome biology · 2026 · 8 claims · 5 setups

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  No prior systematic, quantitative benchmark exists for CCI inference methods specifically developed for spatial transcriptomics across multiple platforms

  synthetic real simulated simulation spot-purity real-data

• CGHPRO -- a comprehensive data analysis tool for array CGH.

  PMID 15807904 · PMC1274268 · BMC bioinformatics · 2005 · 8 claims · 3 setups

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  CGHPRO is a user-friendly, versatile, stand-alone Java tool for normalization, visualization, breakpoint detection and comparative analysis of array-CGH data

  tiling artificially array