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).

• iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

  PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups

  Full-text index only

  iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data

  single-cell algorithm domain scrna-seq single-cell perturbation llm-based

• Spider: a flexible and unified framework for simulating spatial transcriptomics data.

  PMID 41237053 · PMC12790819 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

  Full-text index only

  Spider simulates ST data without requiring real ST data as a reference

  simulated hypothalamus dorsolateral spatial clustering cell-cell

• S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.

  PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

  Full-text index only

  S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.

  dorsolateral dlpfc nanostring spatial cell-type multi-platform

• huSA: a comprehensive database for multi-dimensional resolution of bulk, single cell and spatial transcription profiles in skin diseases.

  PMID 41719583 · PMC12923168 · Database : the journal of biological databases and curation · 2026 · 7 claims · 8 setups

  Has reproduction · 50

  huSA is a comprehensive, publicly accessible database integrating bulk RNA-seq, scRNA-seq, and spatial transcriptomics data across 17 skin diseases and 63 independent datasets

  skin scrna-seq scrna-seq transcription cell-cell