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).

• scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering.

  PMID 40131310 · PMC11934584 · Briefings in bioinformatics · 2025 · 8 claims · 1 setups

  Has reproduction · 85

  scSAMAC integrates contrastive learning and negative binomial (NB) losses into a VAE, extracting features via contrastive unit similarity while preserving intrinsic data characteristics to enhance robustness and generalization in clustering.

  scrna-seq scrna-seq

• Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models.

  PMID 35186014 · PMC8855158 · Frontiers in genetics · 2021 · 8 claims · 2 setups

  Has reproduction · 85

  A hierarchical Bayesian factor model using treatment-dependent latent factor loadings can construct gene co-expression networks from scRNA-seq data and identify differences in network structure between two (or more) biological conditions.

  simulated sars-cov-2 scrna-seq

• 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 publicly accessible database integrating data from 17 skin diseases and 63 independent datasets, including 1434 scRNA-seq, 63 spatial transcriptomics, and 1502 bulk RNA-seq samples

  skin scrna-seq single prurigo scrna-seq bulk spatial

• Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants.

  PMID 41647537 · PMC12869734 · Fundamental research · 2026 · 6 claims · 3 setups

  Has reproduction · 68

  scCluster, an end-to-end deep clustering model integrating gene expression and expressed variant (eSNP) features, stratifies cell subpopulations in cancer scRNA-seq data.

  raw real-world expressed gene deep

• Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data.

  PMID 37994351 · PMC10663991 · F1000Research · 2023 · 7 claims · 7 setups

  Has reproduction · 67

  A reproducible R-based workflow combines Seurat (QC, clustering, integration), monocle3 (trajectory inference), and edgeR (pseudo-bulk time course analysis) to perform single-cell pseudotemporal time course analysis.

  mammary five singlecellexperiment individual droplet-based quality doublet