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).

• 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

• UBD: incorporating uncertainty in cell type proportion estimates from bulk samples to infer cell-type-specific profiles.

  PMID 41520227 · PMC12895075 · Briefings in bioinformatics · 2026 · 7 claims · 4 setups

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  Existing CTS deconvolution methods (e.g., CIBERSORTx, TCA, bMIND, CellDMC, HBI) require cell type proportions that are in practice only estimated, not known, introducing unaccounted uncertainty into CTS inference.

  simulated rosmap onek1k bulk simulation-based cell-type-specific type

• 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

  Has reproduction · 91

  DeClust is a reference-profile-free deconvolution method that incorporates molecular subtyping directly into the deconvolution process, outputting cohort-level cancer subtype and stromal reference profiles rather than per-individual profiles

  tcga simulated muscle-invasive ccrcc computational simulation-based deconvolution

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• Characterizing gene perturbations in single cells via network divergence analysis.

  PMID 41965857 · PMC13249949 · Nature communications · 2026 · 8 claims · 8 setups

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  scDNS quantifies gene-specific functional perturbations by measuring Jensen-Shannon divergence between condition-specific gene interaction network configurations

  ipsc-derived embryonic panc-1 triple scrna-seq single-nucleus

• Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.

  PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups

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  Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile

  gm12878 curated bulk training hi-c ctcf matched

• SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data.

  PMID 42015285 · PMC13231777 · Genome biology · 2026 · 8 claims · 6 setups

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  SpaNiche integrates smoothed cell-type abundance and ligand-receptor expression matrices via graph-regularized joint NMF, across multiple spatial views, to identify colocalization patterns

  lymph colorectal prostate cerebral simulated spatial scrna-seq

• Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data.

  PMID 33746712 · PMC7966716 · Frontiers in molecular neuroscience · 2021 · 7 claims · 7 setups

  Has reproduction · 50

  sctRNA-seq datasets (particularly LCM-seq) show measurable off-target mRNA contamination from surrounding cell types

  brain neocortex cortex allen lcm-seq scrna-seq marker

• CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.

  PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation

  bulk previously round paired transfer-learning cross-species