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).

• DeCAF defines clinical fibroblast subtypes and multidimensional tumor-stroma crosstalk shaping prognosis and immunotherapy response.

  PMID 41707654 · PMC12923980 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

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  DeCAF is a single-sample kTSP classifier using 9 TSP gene pairs that predicts proCAF vs restCAF subtypes from bulk expression data

  pdac cptac external elyada-sc bulk single-sample classifier

• Alternative splicing dynamics during human cardiac development in vivo and in vitro.

  PMID 41483812 · PMC12925949 · Stem cell reports · 2026 · 8 claims · 8 setups

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  iPSC-CMs globally resemble prenatal cardiac cells at both the transcriptional and splicing levels

  ipsc-cms heart bulk ipsc-cm immunofluorescence single-cell bulk

• iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.

  PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal

  nsclc coad brca tcga scrna-seq bulk rna-seq

• Minimal correlation but complementary diagnostic utility for plasma cell-free RNA and proteins.

  PMID 41826701 · PMC13125234 · Communications medicine · 2026 · 6 claims · 6 setups

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  Plasma cfRNA and protein levels are largely uncorrelated, both globally across samples and at the individual feature level

  plasma matched cfrna differentially cell-free somascan differential

• Systematic clustering algorithm for chromatin accessibility data and its application to hematopoietic cells.

  PMID 33253153 · PMC7728210 · PLoS computational biology · 2020 · 7 claims · 5 setups

  Has reproduction · 90

  A systematic clustering algorithm for ATAC-seq data can be built by binarizing the genome into open/closed chromatin (1/0) strings and computing Hamming distances between samples for hierarchical clustering.

  monocytes natural hematopoietic leukemia atac-seq hierarchical