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).

• scDBic: a novel deep learning-based biclustering algorithm for analyzing scRNA-seq data.

  PMID 41746287 · PMC13012890 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  scDBic improves cell clustering by combining deep autoencoder-based cell clustering, gene clustering, and reverse-strategy identification of key gene clusters

  e-mtab-3321 e-mtab-2600 gse45719 gse52529 biclustering ablation

• CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing.

  PMID 30744683 · PMC6371477 · Genome biology · 2019 · 8 claims · 5 setups

  Has reproduction · 97

  CellFishing.jl achieves accuracy comparable to state-of-the-art software (scmap-cell) but is markedly faster

  scrna-seq shekhar2016 svd lsh hamming

• Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.

  PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups

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  DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics

  synthetic embryonic colorectal computational stochastic scrna-seq deep

• Integrated multi-omic atlas reveals the hierarchy of spatiotemporal regulatory networks of mouse gastrulation.

  PMID 41526381 · PMC12902073 · Nature communications · 2026 · 8 claims · 8 setups

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  BioCRE, a novel bi-orientation regression algorithm, more accurately links genes to candidate cis-regulatory elements (CREs) than existing tools Signac and ArchR

  gastrulating gastrula gold-standard embryo single-cell computational promoter

• scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

  PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups

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  Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.

  10x brain ucsc datasets scrna-seq integration snrna-seq

• Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

  PMID 42081487 · PMC13262731 · The Journal of clinical investigation · 2026 · 8 claims · 8 setups

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  BCG responders show an increase in Th17-like Th1 CD4+ T cells with greater proinflammatory cytokine expression

  bladder pbmcs cd4+ separate scrna-seq trajectory flow

• Macrophages on the run: Exercise balances macrophage polarization for improved health.

  PMID 39476967 · PMC11585839 · Molecular metabolism · 2024 · 8 claims · 7 setups

  Has reproduction · 81

  Immediate/acute exercise triggers an M1 (pro-inflammatory) macrophage polarization surge.

  gene affymetrix pooled muscle meta-analysis stepminer gene

• Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis.

  PMID 34335581 · PMC8322955 · Frontiers in immunology · 2021 · 7 claims · 8 setups

  Has reproduction · 63

  Three independently generated human liver CD45+ scRNA-seq datasets (LACEe, Lnb, LCD45e) can be co-clustered and integrated despite differing sequencing platforms and processing protocols.

  liver pbmc integrated gene scrna-seq differential ingenuity

• Identification of Cell Subpopulation-Specific Driver Genes Reveals Ideal Candidates for Renal Cell Carcinoma Immunotherapy.

  PMID 42074110 · PMC13115843 · International journal of molecular sciences · 2026 · 8 claims · 8 setups

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  25 immune-related candidate driver genes were identified from tumor, myeloid, and lymphoid cell gene regulatory networks (GRNs) using SCENIC and topological Q statistics.

  kidney lymphoid rcc tcga-kirc single-cell scenic genome-wide

• iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

  PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups

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  iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data

  single-cell algorithm domain scrna-seq single-cell perturbation llm-based

• Spatiotemporal dynamics of spermatogenesis: insights from high-resolution spatial transcriptomics and pseudotime trajectories in mouse testes.

  PMID 41602862 · PMC12832764 · Frontiers in reproductive health · 2025 · 8 claims · 7 setups

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  Salus-STS (1 μm resolution) combined with the Salus Cellbins Algorithm enables accurate subcellular segmentation of individual testicular cells in dense tissue

  testicular testis seminiferous top high-resolution integration pseudotime

• singIST: An integrative method for comparative single-cell transcriptomics between disease models and humans.

  PMID 41838773 · PMC13008255 · PLoS computational biology · 2026 · 8 claims · 7 setups

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  singIST provides explainable quantitative measures of disease model similarity to a human reference at the pathway, cell type, and gene levels

  skin ear simulated scrna-seq simulation

• A global database for modeling tumor-immune cell communication.

  PMID 37438390 · PMC10338499 · Scientific data · 2023 · 7 claims · 6 setups

  Has reproduction · 66

  TICCom integrates 739 experimentally-validated or manually-curated TIC interactions collected from more than 3,000 literatures

  pubmed scrna-seq tcga basal manual scrna-seq bulk

• Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma.

  PMID 42047819 · PMC13125642 · Cancer immunology, immunotherapy : CII · 2026 · 7 claims · 8 setups

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  A novel ecDNA-related Gene Prognostic Score Model (EGPSM) was constructed using an integrated framework of 101 machine learning algorithm combinations and validated in training, testing, and external cohorts.

  osteosarcoma treatment-naive bulk 143b bulk single-cell cibersort

• Community assessment of methods to deconvolve cellular composition from bulk gene expression.

  PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups

  Has reproduction · 63

  Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.

  admixtures cancer tumor bulk bulk admixture crowdsourced

• Inferring a spatial code of cell-cell interactions across a whole animal body.

  PMID 36395331 · PMC9714814 · PLoS computational biology · 2022 · 8 claims · 6 setups

  Has reproduction · 90

  cell2cell computes cell-cell interaction (CCI) potential using a novel modified Bray-Curtis score based on complementary coexpression of ligand-receptor pairs between cells

  elegans computational single-cell random genetic

• Development and validation of a gemcitabine sensitivity-related long noncoding RNA signature for predicting the prognosis and subtypes of bladder cancer.

  PMID 41809777 · PMC12968932 · Translational andrology and urology · 2026 · 8 claims · 8 setups

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  A 37-GSRlncRNA prognostic signature stratifies BLCA patients into low- and high-risk groups with significant differences in survival, pathway enrichment, immune infiltration, and mutational profiles

  tcga-blca blca paired wgcna differential machine

• Gene regulatory network determinants of rapid recall in human memory CD4(+) T cells.

  PMID 41865369 · PMC13207208 · Cell reports · 2026 · 8 claims · 6 setups

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  Memory CD4+ T cells show enhanced chromatin accessibility proximal to rapid-recall genes compared to naive cells

  blood-derived computational pseudobulk cd4+ single-nuclei maxatac grn

• Spatial transcriptome and single-cell sequencing reveal the role of nucleotide metabolism in breast cancer progression and tumor microenvironment.

  PMID 41613532 · PMC12847018 · Frontiers in oncology · 2025 · 7 claims · 8 setups

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  Tumor cells show significantly upregulated nucleotide metabolic activity, allowing stratification into NUhighepi and NUlowepi subgroups

  tcga-brca breast scrna-seq epithelial ssgsea single-cell cell-cell

• Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.

  PMID 41854308 · PMC13009810 · Science progress · 2026 · 8 claims · 8 setups

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  Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms

  colon coad ssgsea-based machine differential