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
Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population.
PMID 37853325 · PMC10583454 · Genetics, selection, evolution : GSE · 2023 · 8 claims · 6 setups
Selective linkage disequilibrium pruning (SLDP) refines whole-genome SNP sets using GWAS prior information to improve genomic prediction accuracy.
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QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.
PMID 17341461 · PMC1874617 · Nucleic acids research · 2007 · 8 claims · 7 setups
QuantiSNP (OB-HMM) provides probabilistic quantification of copy number states and significantly improves accuracy of segmental aneuploidy identification and breakpoint mapping relative to existing tools (BeadStudio/Illumina)
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Testing groups of genomic locations for enrichment in disease loci using linkage scan data: a method for hypothesis testing.
PMID 16848972 · PMC3525155 · Human genomics · 2006 · 8 claims · 2 setups
A method testing enrichment of a group of genomic locations for disease loci by comparing the average NPL score of the group to a null distribution from randomly drawn groups of equal size
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Has reproduction · 65
FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq.
PMID 23768108 · PMC3691734 · BMC bioinformatics · 2013 · 8 claims · 8 setups
FusionQ is a novel tool that detects gene fusions, constructs chimerical transcript structures, and estimates their abundances from paired-end RNA-Seq data.
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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 · 83
SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.
PMID 40169992 · PMC11963337 · Genetics, selection, evolution : GSE · 2025 · 8 claims · 2 setups
SIRE 2.0 is a novel Bayesian methodology and software tool for estimating polygenic contributions (variance components and additive genetic effects) to host susceptibility, infectivity and recoverability from temporal epidemic data using pedigree/genomic relationship matrices.
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Has reproduction · 61
TEMP: a computational method for analyzing transposable element polymorphism in populations.
PMID 24753423 · PMC4066757 · Nucleic acids research · 2014 · 8 claims · 8 setups
TEMP combines pair-end (discordant) read and split (soft-clipped) read information to identify both presence and absence of TE insertions in genomic DNA from heterogeneous/pooled samples.
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Has reproduction · 86
The selection of software and database for metagenomics sequence analysis impacts the outcome of microbial profiling and pathogen detection.
PMID 37027361 · PMC10081788 · PloS one · 2023 · 7 claims · 7 setups
Obtaining an accurate species-level microbial profile using current direct-read metagenomics profiling software is still a challenging task.
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PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size.
PMID 16620382 · PMC1459209 · BMC bioinformatics · 2006 · 7 claims · 3 setups
PedGenie is a valid, flexible statistical tool for genetic association analysis in pedigrees of arbitrary size and structure using Monte Carlo significance testing
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Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups
Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements
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Has reproduction · 10
RADAR: differential analysis of MeRIP-seq data with a random effect model.
PMID 31870409 · PMC6927177 · Genome biology · 2019 · 8 claims · 6 setups
RADAR is a novel analytical tool for differential methylation analysis of MeRIP-seq data combining gene-level INPUT normalization with a Poisson random effect model.
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Optimality driven nearest centroid classification from genomic data.
PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups
A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).
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Has reproduction · 98
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters.
PMID 38632535 · PMC11022492 · Genetics, selection, evolution : GSE · 2024 · 7 claims · 3 setups
The most precise estimates of genetic parameters and genetic trends are obtained when breeding queens are mated with drones of a single DPQ that is correctly assigned in the pedigree (SS mating).
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Operon information improves gene expression estimation for cDNA microarrays.
PMID 16630355 · PMC1513396 · BMC genomics · 2006 · 7 claims · 3 setups
A hierarchical Bayesian model that borrows expression information from other genes within the same operon improves estimation of relative transcript levels.
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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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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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A note on generalized Genome Scan Meta-Analysis statistics.
PMID 15717930 · PMC551600 · BMC bioinformatics · 2005 · 7 claims · 3 setups
An Edgeworth series approximation to the null distribution of the weighted GSMA statistic provides a more accurate representation than the normal approximation, especially in the tails
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Has reproduction · 85
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.
PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups
scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.
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Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes.
PMID 17158152 · PMC1802574 · Nucleic acids research · 2007 · 8 claims · 8 setups
GLR is a novel maximum-likelihood measure of gene loss rate that probabilistically weighs all possible ancestral phyletic patterns rather than relying on a single parsimonious reconstruction.
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Bayesian survival analysis in genetic association studies.
PMID 18617538 · PMC2530885 · Bioinformatics (Oxford, England) · 2008 · 7 claims · 5 setups
A novel Bayesian method (BETA-Surv) extends prior case-control haplotype-clustering work to censored survival outcomes by clustering haplotypes via gene tree/perfect phylogeny topology and relative mutation age.