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).

• 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

• The gene expression landscape of disease genes.

  PMID 41664080 · PMC12983648 · Genome biology · 2026 · 8 claims · 8 setups

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  In tissues and cell types with established disease relevance, disease genes show higher and more specific gene expression than control genes

  gtex pubmed tabula archs4 differential magma anderson-darling

• Differential cell signaling testing for cell-cell communication inference from single-cell data by dominoSignal.

  PMID 41746282 · PMC12998610 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

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  dominoSignal extends the Domino algorithm to enable statistical testing of differential cell-cell signaling between experimental conditions.

  single-cell simulated pdac per-sample single-cell simulation cell-cell

• Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types.

  PMID 41566530 · PMC12906006 · Genome biology · 2026 · 7 claims · 6 setups

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  Pseudobulk and real bulk RNA-seq deconvolution performance differ significantly, and method ranking consistency is lower between pseudobulk and real bulk than within either data type alone

  breast real colon tcga paired pseudobulk bulk

• 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

• FEM: mining biological meaning from cell level in single-cell RNA sequencing data.

  PMID 34909283 · PMC8641482 · PeerJ · 2021 · 8 claims · 5 setups

  Has reproduction · 75

  The FEM algorithm converts a single-cell gene expression matrix into a functional expression matrix using multi-module gene set enrichment analysis, utilizing information from all expressed genes rather than discarding filtered genes.

  pbmc pancreas liver scrna-seq single-cell fisher's dimensionality

• Cross-species prediction reveals chromatin regions with increased accessibility in humans.

  PMID 41984952 · PMC13082337 · Science advances · 2026 · 8 claims · 8 setups

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  CNNs trained exclusively on human ATAC-seq data achieve cross-species prediction performance in chimpanzees and macaques comparable to species-specific models

  lymphoblastoid prefrontal six chimpanzee bulk single-cell cnn

• A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma.

  PMID 41514053 · PMC12858409 · Nature cancer · 2026 · 8 claims · 6 setups

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  Generated a single-cell Immune Atlas of 1,397,272 BM cells from 337 NDMM participants (263 discovery, 74 validation) using scRNA-seq

  cd138 bone ndmm single-cell cytogenetic disease

• Bridging cancer cell-intrinsic driver genes and -extrinsic cell-cell communication with Driver2Comm.

  PMID 41701761 · PMC12928580 · PLoS computational biology · 2026 · 8 claims · 5 setups

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  Driver2Comm is a computational framework that identifies intrinsic-extrinsic (IE) pathways functionally connecting cancer cell driver genes with their associated CCC signatures in the TME using single-cell transcriptomics data.

  pdac genes tcga single-cell copy fisher's

• Illuminating cell states by a comprehensive and interpretable single cell foundation model.

  PMID 41839876 · PMC13139411 · Nature communications · 2026 · 6 claims · 6 setups

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  CellVQ, incorporating a Single-Cell Discretization (SCD) module that converts cell embeddings into a discrete 'cell code' via a unified codebook, mitigates data heterogeneity and batch effects while improving interpretability

  pancreas sampled bulk lines scrna-seq type property

• ProtoCloud: A prototypical self-explaining model for single-cell analysis.

  PMID 41997134 · PMC13261663 · Cell genomics · 2026 · 8 claims · 8 setups

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  ProtoCloud matches or outperforms existing annotation methods across 11 large-scale datasets, particularly for rare cell types

  diverse pbmc10k pbmc30k tsca scrna-seq latent gene

• PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.

  PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups

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  PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.

  k562 rpe1 processed single-cell computational biological

• Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.

  PMID 39682743 · PMC11640164 · Cells · 2024 · 8 claims · 5 setups

  Has reproduction

  Estimated T-cell infiltration differs significantly across melanoma, bladder, ovarian, and pancreatic cancers, tracking known immunogenic potential.

  tumor melanoma orien bulk gene kaplan-meier

• Directing stem cell differentiation by chromatin state approximation.

  PMID 41734818 · PMC12956330 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  Greedy selection of culture conditions by chromatin (ATAC-seq) distance to target is a viable optimisation strategy for differentiation protocols

  cd34+ cd34+-derived erythroid bone atac-seq flow rt-qpcr

• Multi-omic identification of key transcriptional regulatory programs during endurance exercise training in rats.

  PMID 41862462 · PMC13168590 · Nature communications · 2026 · 8 claims · 7 setups

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  Gene regulatory responses to endurance exercise training (EET) are predominantly tissue-specific rather than shared across tissues

  tissues same skm-gn rna-seq atac-seq rrbs

• Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

  PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups

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  scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets

  adipose same fat-cell real pseudobulk single-cell synthetic

• Single-cell transcriptomic analysis reveals intra-tumoral heterogeneity and immunotherapy strategies in high-grade serous ovarian cancer.

  PMID 41907410 · PMC13018870 · iScience · 2026 · 8 claims · 8 setups

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  scRNA-seq of 17 HGSOC tissue samples reveals seven major cell types and extensive intra-tumoral heterogeneity

  hgsoc epithelial tcga gse165897 single-cell copy kegg

• Reconstructing cell-cell interaction network in single-cell spatial transcriptomics via directed heterogeneous graph autoencoder.

  PMID 41999209 · PMC13189858 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  DualCellChat, a directed heterogeneous graph autoencoder, reconstructs a complete and accurate CCI network from incomplete single-cell spatial transcriptomics

  visual hypothalamic olfactory breast single-cell cci benchmarking

• Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.

  PMID 34773081 · PMC8589952 · Communications biology · 2021 · 8 claims · 7 setups

  Has reproduction · 92

  Large-scale integration of 111 sc/snRNAseq datasets captures rare, transitional myogenic progenitor states (commitment and fusion) that are poorly represented in individual datasets.

  skeletal merged myogenic muscle scrnaseq batch-correction differential

• 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