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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ECgene: an alternative splicing database update.
PMID 17132829 · PMC1716719 · Nucleic acids research · 2007 · 8 claims · 5 setups
ECgene provides functional annotation (domain, GO, expression pattern) for alternatively spliced genes
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PMEPA1 modulates YAP1 nuclear translocation to disrupt EMT subtypes and promote metastasis in Biliary tract cancer.
PMID 41932868 · PMC13172513 · Cell death & disease · 2026 · 8 claims · 8 setups
PMEPA1 is a pivotal EMT regulator in BTC; its high expression correlates with adverse prognosis and distant metastasis
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Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the Stockholm Atherosclerosis Gene Expression (STAGE) study.
PMID 19997623 · PMC2780352 · PLoS genetics · 2009 · 8 claims · 6 setups
Functionally associated gene modules, not individual genes, underlie CAD development and can be identified via multi-organ expression clustering
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Interpretable trajectory inference with single-cell linear adaptive negative-binomial expression (scLANE) testing.
PMID 41533563 · PMC12802912 · Nucleic acids research · 2026 · 8 claims · 3 setups
scLANE models gene expression as a piecewise negative-binomial GLM using truncated power basis (hinge) functions with adaptively chosen knots, yielding directly interpretable multiplicative effect sizes for trajectory differential expression
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Has reproduction · 84
An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis.
PMID 36352408 · PMC9648005 · BMC biology · 2022 · 7 claims · 5 setups
A signal transduction/gene regulatory network model of the articular chondrocyte was built combining knowledge-based curation and data-driven (machine learning) network inference
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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
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.
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Has reproduction · 67
Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data.
PMID 37994351 · PMC10663991 · F1000Research · 2023 · 8 claims · 6 setups
A comprehensive open-source R workflow combining trajectory inference (monocle3) and pseudo-bulk time course analysis (edgeR) can be applied to multi-sample scRNA-seq data of the mouse mammary gland.
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Data driven network inference and longitudinal transcriptomics unveil dynamic regulation in Chronic Lymphocytic Leukaemia models.
PMID 41540084 · PMC12894745 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups
The presence of immune cells in the environment significantly alters CLL cell activation
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Has reproduction · 76
Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.
PMID 26286638 · PMC4541321 · Scientific reports · 2015 · 6 claims · 6 setups
DRW-GM evaluates gene topological importance by directed random walk on a global gene–metabolite pathway graph integrating gene expression and metabolomic profiles to infer pathway activities
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Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients.
PMID 41844950 · PMC13129071 · Scientific reports · 2026 · 8 claims · 7 setups
FM (MAMMAL)-derived drug-target binding affinity (BA) inference can be used to rank/select biologically relevant protein targets and their associated genes/SNPs for a drug of interest without knowledge of protein structure or active sites
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Has reproduction · 78
A network-based model of Aspergillus fumigatus elucidates regulators of development and defensive natural products of an opportunistic pathogen.
PMID 41505094 · PMC12781895 · Nucleic acids research · 2026 · 7 claims · 6 setups
MERLIN-P-TFA network inference on 18 curated public RNA-seq datasets produced a genome-wide GRN resource for A. fumigatus called GRAsp.
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Bridging cancer cell-intrinsic driver genes and -extrinsic cell-cell communication with Driver2Comm.
PMID 41701761 · PMC12928580 · PLoS computational biology · 2026 · 8 claims · 5 setups
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.
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A differential single-cell transcriptome atlas of left-sided and right-sided colorectal cancer.
PMID 41844817 · PMC13111741 · Discover oncology · 2026 · 8 claims · 8 setups
MTRNR2L8 is markedly upregulated in RCRC tumor cells and is associated with poorer patient survival
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Gene regulatory network determinants of rapid recall in human memory CD4(+) T cells.
PMID 41865369 · PMC13207208 · Cell reports · 2026 · 8 claims · 6 setups
Memory CD4+ T cells show enhanced chromatin accessibility proximal to rapid-recall genes compared to naive cells
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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
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
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Has reproduction · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class Random Forest models built from meta-analyzed blood gene expression data can predict infection state (bacterial/viral/none) with high accuracy, correctly classifying 93% of bacterial and 89% of viral samples in the best model.
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Identification of gene interactions associated with disease from gene expression data using synergy networks.
PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups
Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.
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Network inference and network response identification: moving genome-scale data to the next level of biological discovery.
PMID 20174676 · PMC3087299 · Molecular bioSystems · 2010 · 8 claims · 8 setups
Cellular response to a signal is assumed to involve only specific TRN modules (conditionally active subnetworks) rather than the entire network, providing quantitative tractability
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Benchmarking component choices for unpaired single cell RNA and epigenomic integration.
PMID 41987329 · PMC13192178 · Genome biology · 2026 · 7 claims · 8 setups
Gene activity scores (GAS) show limited correlation with actual gene expression but effectively preserve cellular neighborhood structure and support clustering.
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Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.