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).

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• A comparative analysis of blastoid models through single-cell transcriptomics.

  PMID 39524369 · PMC11543915 · iScience · 2024 · 8 claims · 7 setups

  Has reproduction · 60

  EPSC-derived blastoids are transcriptomically distinct from nPSC-derived blastoids, with nPSC-blastoids clustering closer to natural blastocysts.

  blastoid natural combined integrated scrnaseq lineage kolmogorov-smirnov

• PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data.

  PMID 30951143 · PMC6450036 · Database : the journal of biological databases and curation · 2019 · 7 claims · 7 setups

  Has reproduction · 80

  PanglaoDB is a web server providing pre-processed and pre-computed analyses of published mouse and human scRNA-seq experiments through a user-friendly interface.

  randomly single-cell single scrna-seq cell-type orthogonal

• Deconvolving cell-type-specific gene expression profiles from bulk RNA-seq samples.

  PMID 41886524 · PMC13038110 · PLoS computational biology · 2026 · 8 claims · 6 setups

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  BLUE, a U-Net-based deep learning model with dual branches (U-Net for GEPs, MLP for proportions), accurately predicts cell-type proportions and cell-type-specific gene expression profiles from bulk RNA-seq.

  pbmc pancreatic aml scrna-seq-derived real scrna-seq

• scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

  PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups

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  Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.

  10x brain ucsc datasets scrna-seq integration snrna-seq

• 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

• Endothelial PDGF Signaling Dysregulation Impairs Testicular Interstitial Homeostasis in Diabetes.

  PMID 41643060 · PMC13073339 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 7 setups

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  Testicular endothelial cells (TECs) function as a central signaling hub coordinating intercellular communication within the human testicular interstitium

  testicular testis leydig diabetic single-cell integrative cell-cell

• Cell-type annotation with accurate unseen cell-type identification using multiple references.

  PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups

  Has reproduction · 68

  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

  pbmc pancreas covid-19 scrna-seq

• 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 · 7 setups

  Has reproduction · 42

  CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy

  cancer testing sequencing unseen scrna-seq spatial

• Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing.

  PMID 41503159 · PMC12770975 · NAR genomics and bioinformatics · 2026 · 8 claims · 6 setups

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  Eight prominent imputation methods (MAGIC, SAVER, scVI, DCA, scBiG, kNN-smoothing, scImpute, ALRA) were systematically evaluated for their ability to recover the true non-zero expression fraction using simulated and real-world scRNA-seq data

  basal tracheal airway k562 simulated scrna-seq imputation

• CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.

  PMID 42080261 · PMC13136905 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  CSsingle explicitly corrects for cell-type-specific RNA content (cell size) differences using ERCC spike-ins or a novel computational estimator

  blood breast developing colorectal bulk scrna-seq spatial

• Single-Cell and Spatial Omics: Methods and Applications.

  PMID 41953641 · PMC13053676 · MedComm · 2026 · 8 claims · 8 setups

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  Single-cell and spatial omics enable high-resolution molecular profiling that overcomes key limitations of bulk sequencing, revealing cellular heterogeneity and spatial organization central to development, homeostasis, and disease.

  a549 hela single dissociated single-cell sc-psilac