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).

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• The liver as an immunological barrier redefined by single-cell analysis.

  PMID 32176810 · PMC7218664 · Immunology · 2020 · 8 claims · 8 setups

  Has reproduction · 100

  Single-cell RNA-seq enables unbiased characterization of liver cell states, developmental trajectories and rare immune populations that bulk averaging obscures, redefining liver cell-type mapping.

  c57bl liver whole-liver hepatocytes scrna-seq facs-based plate-based

• Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.

  PMID 38254989 · PMC10815467 · Genes · 2024 · 8 claims · 8 setups

  Has reproduction · 85

  Combining scRNA-seq and spatial transcriptomics enables inference of malignant cells at the invasive front of the ER+ breast cancer TME and dissection of events at the tumor infiltration forefront

  normal er+ epithelial malignant single-cell spatial copy

• ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.

  PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups

  Has reproduction · 85

  scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.

  usoskin pollen zeisel yan scrna-seq umap masking