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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Has reproduction · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 3 setups
Graph Random Forest (GRF) embeds graph/network information directly into the decision-tree building process by splitting on features in the k-hop neighborhood of a data-driven head-splitting node.
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Has reproduction · 62
Equivalent change enrichment analysis: assessing equivalent and inverse change in biological pathways between diverse experiments.
PMID 32093613 · PMC7041296 · BMC genomics · 2020 · 7 claims · 3 setups
The Equivalent Change Index (ECI), a gene-level statistic ranging from -1 to 1, quantifies whether a gene was changed to the same (1) or completely opposite (-1) degree across two experiments relative to their controls.
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Has reproduction · 63
Community assessment of methods to deconvolve cellular composition from bulk gene expression.
PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups
Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.
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Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays.
PMID 16549007 · PMC1544357 · BMC bioinformatics · 2006 · 7 claims · 2 setups
A methodology combining Cox proportional hazards models with a compound covariate, cross-validated log partial likelihood (ACVL) for predictive accuracy, and permutation-based significance testing can identify an optimal subset of significant genes for survival prediction
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Has reproduction · 40
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.
PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups
DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.
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Iterative class discovery and feature selection using Minimal Spanning Trees.
PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups
Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering
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Testing whether genetic variation explains correlation of quantitative measures of gene expression, and application to genetic network analysis.
PMID 18444230 · PMC2729096 · Statistics in medicine · 2008 · 8 claims · 3 setups
A statistical test (delta method and Steiger-Browne optimal linear composites) is developed to test equality of the marginal correlation and the partial correlation of two gene expression traits conditional on a set of covariates.
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A statistical model to identify differentially expressed proteins in 2D PAGE gels.
PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups
A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.
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Has reproduction · 75
Revealing the critical state and identifying individualized dynamic network biomarker for type 2 diabetes through advanced analysis methods on individual basis.
PMID 39890881 · PMC11785715 · Scientific reports · 2025 · 8 claims · 5 setups
sJSD, NIG, and TNFE methods can detect critical states/tipping points before disease deterioration using only a single sample
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Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.
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Has reproduction · 62
Gbdmr: identifying differentially methylated CpG regions in the human genome via generalized beta regressions.
PMID 38443825 · PMC10916021 · BMC bioinformatics · 2024 · 8 claims · 4 setups
gbdmr models DNA methylation levels of CpG sites using a generalized beta distribution instead of assuming normality as in linear-regression-based methods
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Has reproduction · 87
CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.
PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups
CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.
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Has reproduction · 100
Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.
PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups
Stochastic exploration of the gene-regulatory network structure confers enhanced adaptive capacity, enabling GBM cells to converge to new target phenotypes in novel environments.
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Has reproduction · 78
Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer.
PMID 36851919 · PMC9957767 · Computational and structural biotechnology journal · 2023 · 8 claims · 7 setups
Simulations of the EMT-AR crosstalk network reveal four possible phenotypes: epithelial-sensitive (ES), epithelial-resistant (ER), mesenchymal-resistant (MR), and mesenchymal-sensitive (MS), with MS occurring rarely
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Has reproduction · 85
A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.
PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups
EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)
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Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
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.
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Statistical challenges in preprocessing in microarray experiments in cancer.
PMID 18829474 · PMC3529914 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 7 setups
Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset
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A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy.
PMID 18302764 · PMC2276496 · BMC genomics · 2008 · 8 claims · 6 setups
A novel non-parametric meta-analysis approach for combining independent microarray datasets is presented, requiring no distributional assumptions and being logically intuitive.
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Has reproduction · 37
A Bayesian approach to accurate and robust signature detection on LINCS L1000 data.
PMID 32003771 · PMC7203754 · Bioinformatics (Oxford, England) · 2020 · 6 claims · 4 setups
A novel Bayesian-based peak deconvolution algorithm gives unbiased likelihood estimations for peak locations and characterizes peaks with probability-based z-scores.
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Has reproduction · 50
Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data.
PMID 33746712 · PMC7966716 · Frontiers in molecular neuroscience · 2021 · 6 claims · 7 setups
A computational method using high-quality scRNA-seq reference data can estimate per-sample, per-cell-type off-target contamination coefficients in sctRNA-seq datasets.