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).

• Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis.

  PMID 34335581 · PMC8322955 · Frontiers in immunology · 2021 · 7 claims · 7 setups

  Has reproduction · 63

  Independent human liver immune scRNA-seq datasets can be combined into an integrated meta-atlas in which all datasets co-cluster, despite differing cell-type proportions between studies.

  liver combined normal differential scrna-seq integrated reference

• Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.

  PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)

  pbmc cord melanoma lung scrna-seq computational

• Exploring the prognostic and diagnostic value of lactylation-related genes in sepsis.

  PMID 39367086 · PMC11452377 · Scientific reports · 2024 · 8 claims · 7 setups

  Has reproduction · 73

  Intersecting sepsis-associated differentially expressed genes with a curated list of 332 lactylation genes yields 55 sepsis-related lactylation genes.

  peripheral overlapping geo pbmcs bulk kegg protein-protein

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups

  Has reproduction · 42

  CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.

  testing datasets tisch2 prostate scrna-seq simulated spatial