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).
-
Has reproduction · 69
Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses.
PMID 34675242 · PMC8531356 · Scientific reports · 2021 · 8 claims · 8 setups
Only 8 of 20 previously published COVID-19 scRNA-seq findings were reproducible across all relevant datasets in a standardized meta-analysis
-
Has reproduction · 94
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
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)
-
Has reproduction · 64
Celline: a flexible tool for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.
PMID 41458999 · PMC12738925 · Frontiers in bioinformatics · 2025 · 8 claims · 7 setups
Celline is a Python package executing an entire scRNA-seq workflow (retrieval, preprocessing, integration, analysis) using single-line commands per step
-
Has reproduction · 63
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
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.
-
Has reproduction · 91
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.
PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups
DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.
-
Has reproduction · 68
Cell-type annotation with accurate unseen cell-type identification using multiple references.
PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups
mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy
-
Has reproduction · 42
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
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.
-
Has reproduction · 73
Exploring the prognostic and diagnostic value of lactylation-related genes in sepsis.
PMID 39367086 · PMC11452377 · Scientific reports · 2024 · 8 claims · 7 setups
Intersecting sepsis-associated differentially expressed genes with a curated list of 332 lactylation genes yields 55 sepsis-related lactylation genes.
-
Has reproduction · 60
A comparative analysis of blastoid models through single-cell transcriptomics.
PMID 39524369 · PMC11543915 · iScience · 2024 · 8 claims · 7 setups
EPSC-derived blastoids are transcriptomically distinct from nPSC-derived blastoids, with nPSC-blastoids clustering closer to natural blastocysts.
-
Has reproduction · 61
TEMP: a computational method for analyzing transposable element polymorphism in populations.
PMID 24753423 · PMC4066757 · Nucleic acids research · 2014 · 8 claims · 8 setups
TEMP combines pair-end (discordant) read and split (soft-clipped) read information to identify both presence and absence of TE insertions in genomic DNA from heterogeneous/pooled samples.