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).

• Compact and informative representation learning for scRNA-seq data clustering with masked information bottleneck.

  PMID 41917934 · PMC13162528 · BMC biology · 2026 · 6 claims · 4 setups

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  scMIB achieves state-of-the-art and more stable clustering performance across diverse scRNA-seq datasets compared with ten baseline methods

  real same splatter-simulated scrna-seq clustering denoising