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 · 60
UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data.
PMID 37478378 · PMC10516365 · Briefings in bioinformatics · 2023 · 5 claims · 3 setups
UNMF is designed for tidy data format and structure, allowing it to handle a wide range of data structures and formats in a unified manner without requiring format-specific preprocessing.
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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 · 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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Has reproduction · 80
Differential analysis of RNA structure probing experiments at nucleotide resolution: uncovering regulatory functions of RNA structure.
PMID 35869080 · PMC9307511 · Nature communications · 2022 · 7 claims · 4 setups
DiffScan is a computational framework combining a Normalization module and a Scan module to identify SVRs at nucleotide resolution from SP data.
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Application of two machine learning algorithms to genetic association studies in the presence of covariates.
PMID 19014573 · PMC2620353 · BMC genetics · 2008 · 8 claims · 3 setups
The relative performance of RF and MARS for detecting genotype-trait associations depends on both the strategy used to handle covariates and the true underlying model of association (e.g., confounding vs. mediation vs. interaction).
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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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Has reproduction · 85
Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models.
PMID 35186014 · PMC8855158 · Frontiers in genetics · 2021 · 8 claims · 2 setups
A hierarchical Bayesian factor model using treatment-dependent latent factor loadings can construct gene co-expression networks from scRNA-seq data and identify differences in network structure between two (or more) biological conditions.
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Hit selection with false discovery rate control in genome-scale RNAi screens.
PMID 18628291 · PMC2504311 · Nucleic acids research · 2008 · 8 claims · 3 setups
A Bayesian FDR-controlling methodology for hit selection in genome-scale RNAi HTS is proposed, using a direct posterior probability approach analogous to Newton et al.