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).

• CellMap: precision mapping of cellular landscape in spatial transcriptomics.

  PMID 41505103 · PMC12781899 · Nucleic acids research · 2026 · 7 claims · 3 setups

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  CellMap combines co-linearity of seed genes, a random forest model, and the linear assignment algorithm to achieve optimal assignment of single cells to spatial spots

  platforms single-cell expression computational scrna-seq spatial

• AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.

  PMID 41871930 · PMC13064981 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  AutoGERN explicitly models regulatory information in the message-passing space via learned link (edge) embeddings, which are scored by a lightweight MLP to infer TF–target interactions.

  seven same scrna-seq-based chip-seq cold-start

• 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

• pmid-41883144

  PMID 41883144 · PMC13069479 · 8 claims · 8 setups

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  GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information

  hematopoietic embryonic dendritic hepatocytes scrna-seq chip-seq string

• Differentiation in the human urothelia is defined by distinct alternative polyadenylation.

  PMID 41533515 · PMC12937501 · Cell reports · 2026 · 8 claims · 8 setups

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  APA introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels

  urothelial urothelial-specific ureter hek293t single-cell poly fluorescence

• 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

• EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.

  PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs

  dbps tfs common ctcf deep comparative feature-ablation

• Variant-resolved prediction of context-specific isoform variation with a graph-based attention model.

  PMID 41547351 · PMC13069856 · Cell genomics · 2026 · 8 claims · 8 setups

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  Otari, an attention-based graph neural network trained on long-read transcriptomes across 30 tissues/brain regions, predicts tissue-specific differential isoform abundance

  tissues genomic gtex hgmd long-read variant splice

• ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks.

  PMID 41592570 · PMC13069865 · Cell genomics · 2026 · 8 claims · 7 setups

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  ChromBERT is pre-trained via masked reconstruction on the Cistrome-Human-6K dataset (6,391 cistromes, 991 transcription regulators) to learn genome-wide interaction syntax of transcription regulators

  lines chromosome embryonic transcription chip-seq chromhmm hi-c

• HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups

  Has reproduction · 67

  Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution

  pbmc derived tcga-lihc scrna-seq simulated bulk

• Learning collective multicellular dynamics with an interacting mean field neural SDE model.

  PMID 41564117 · PMC12854464 · PLoS computational biology · 2026 · 7 claims · 5 setups

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  scIMF models multicellular dynamics as interacting diffusion processes using a McKean-Vlasov SDE solved via Neural SDE, with a Transformer-based cell-wise attention mechanism approximating the distribution-dependent drift term

  zebrafish embryonic pancreatic temporal umap cell-wise

• 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

• A cellular epigenetic classification system for glioblastoma.

  PMID 41499453 · PMC13128495 · Neuro-oncology · 2026 · 8 claims · 8 setups

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  ITHresolveGBM, a hierarchical two-step NMF method, deconvolutes bulk GBM DNA methylation profiles into three non-malignant (immune, glial, neuronal) and three malignant components

  gbm healthy pseudo-bulk tcga illumina single-cell deconvolution