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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Full-text index only
MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.
PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups
A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs
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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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Full-text index only
Ab initio identification of human microRNAs based on structure motifs.
PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups
MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence
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Has reproduction · 67
A consensus approach to vertebrate de novo transcriptome assembly from RNA-seq data: assembly of the duck (Anas platyrhynchos) transcriptome.
PMID 25009556 · PMC4070175 · Frontiers in genetics · 2014 · 8 claims · 8 setups
Multiple k-mer (MK) assemblies are more complete than single k-mer (SK) assemblies, showing higher reads-mapped-back-to-transcripts (RMBT) and higher CEGMA complete-gene percentages for all three tools.
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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.