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).
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Extending differential gene expression testing to handle genome aneuploidy in cancer.
PMID 41894415 · PMC13061324 · PLoS computational biology · 2026 · 8 claims · 4 setups
DeConveil integrates CNV data into DGE analysis using a GLM with negative binomial distribution to correct for CN-driven gene dosage effects
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scSurv: a deep generative model for single-cell survival analysis.
PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes
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Differential expression analysis in single-cell and spatial RNA-seq without model assumptions.
PMID 41980775 · PMC13198004 · Cell reports methods · 2026 · 7 claims · 4 setups
Common DGE analysis methods (Wilcoxon test, unweighted t-test, pseudo-bulk aggregation, SCTransform-style parametrization) rely on unnecessary simplifications and assumptions that are inconsistent with experimental data and cause false findings
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Interpretable learning of temporal cellular dynamics from single-cell data.
PMID 41875867 · PMC13030976 · Cell reports methods · 2026 · 7 claims · 7 setups
NeuroVelo couples a linear latent phase-space projection with a non-linear neural ODE, using RNA velocity as a physics-informed loss penalty, to jointly model cellular dynamics and enable gene-level interpretability
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Effective quantitative real-time polymerase chain reaction analysis of the parkin gene (PARK2) exon 1-12 dosage.
PMID 17324265 · PMC1810516 · BMC medical genetics · 2007 · 8 claims · 3 setups
Developed a real-time TaqMan PCR method that quantifies PARK2 exon 1-12 copy number by comparing amplification signal to the β-globin internal control gene
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Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.
PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups
CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data
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A cellular epigenetic classification system for glioblastoma.
PMID 41499453 · PMC13128495 · Neuro-oncology · 2026 · 8 claims · 8 setups
ITHresolveGBM, a hierarchical two-step NMF method, deconvolutes bulk GBM DNA methylation profiles into three non-malignant (immune, glial, neuronal) and three malignant components
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Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration.
PMID 42054434 · PMC13148828 · PLoS computational biology · 2026 · 8 claims · 5 setups
SEBULA models the singlet background directly from observed HCLC (high-coverage locus count) statistics using fragment-level snATAC-seq information, avoiding reliance on synthetic/artificial doublets.
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Has reproduction · 82
Landscape of allele-specific transcription factor binding in the human genome.
PMID 33980847 · PMC8115691 · Nature communications · 2021 · 8 claims · 6 setups
A novel statistical framework (ADASTRA) calls allele-specific TF binding from existing ChIP-Seq alignments by jointly correcting for background allelic dosage (BAD, from aneuploidy/CNVs) and reference mapping bias.
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Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase.
PMID 17316440 · PMC1852407 · Genome biology · 2007 · 8 claims · 6 setups
CDK consensus motifs are frequently clustered (closely spaced) in known CDK substrate proteins rather than uniformly distributed
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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Embeddings from language models are good learners for single-cell data analysis.
PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups
scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model
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CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.
PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups
CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data
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A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long-Read Data.
PMID 41669879 · PMC13088316 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
SpecImmune is the first unified computational framework to simultaneously genotype HLA, KIR, IG, TCR, and CYP genes from long-read data.
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scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation.
PMID 41632596 · PMC12866930 · Briefings in bioinformatics · 2026 · 8 claims · 6 setups
scGACL, a GAN integrated with multi-scale contrastive learning, is proposed to overcome the over-smoothing problem in scRNA-seq imputation
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Has reproduction · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups
GRF identifies effective features that form highly connected sub-graphs on the underlying biological network
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Has reproduction
Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.
PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 8 claims · 8 setups
Tree-based (XGBoost, LightGBM) and deep-learning (TabNet) tabular ML classifiers achieve state-of-the-art somatic vs germline classification in tumor-only WES samples, outperforming PureCN.
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Glioblastoma stem cells show transcriptionally correlated spatial organization.
PMID 41577992 · PMC12894897 · Communications biology · 2026 · 8 claims · 5 setups
GSCs from different patient samples exhibit diverse, characteristic multicellular spatial patterns in culture (e.g., anisotropic vs isotropic packing, overlapping vs non-overlapping space utilization)
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scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics.
PMID 41639087 · PMC12982784 · Nature communications · 2026 · 7 claims · 4 setups
scLong performs self-attention across all ~27,874 human genes, including lowly expressed ones, to capture long-range gene dependencies missed by models restricted to highly expressed gene subsets
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High-fidelity bidirectional translation between single-cell transcriptomes and DNA methylomes with scBOND.
PMID 41887797 · PMC13138010 · Genome research · 2026 · 7 claims · 6 setups
scBOND is a bidirectional dual-channel VAE framework for cross-modality translation between scRNA-seq and scDNAm that outperforms existing baseline methods (scCross, MAPLE) in both translation directions