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
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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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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Full-text index only
Widespread dysregulation of MiRNAs by MYCN amplification and chromosomal imbalances in neuroblastoma: association of miRNA expression with survival.
PMID 19924232 · PMC2773120 · PloS one · 2009 · 8 claims · 5 setups
37 miRNAs are significantly differentially expressed between MYCN-amplified (MNA) and non-MNA neuroblastoma tumors, suggesting direct or indirect regulation by MYCN
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Has reproduction · 68
Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.
PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 7 claims · 7 setups
CEP120 and SPDL1 are fibrosis-related diagnostic genes for IDD, identified via a random forest model from 29 differentially expressed fibrosis-related genes
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Has reproduction · 69
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.
PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups
An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.