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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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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miRGator: an integrated system for functional annotation of microRNAs.
PMID 17942429 · PMC2238850 · Nucleic acids research · 2008 · 8 claims · 8 setups
miRGator integrates target prediction, functional enrichment analysis (GO/pathway/disease), and expression data (miRNA/mRNA/protein) into one system for functional annotation of miRNAs
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Has reproduction · 100
A comprehensive framework for analysis of microRNA sequencing data in metastatic colorectal cancer.
PMID 35047825 · PMC8759566 · NAR cancer · 2022 · 7 claims · 7 setups
Five miRNAs (Mir-210_3p, Mir-191_5p, Mir-8-P1b_3p [miR-141-3p], Mir-1307_5p, Mir-155_5p) are up-regulated at multiple metastatic sites in colorectal cancer.
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Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups
A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.
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Genome informatics: taming the avalanche of genomic data.
PMID 15642109 · PMC549058 · Genome biology · 2005 · 8 claims · 7 setups
Ultraconserved regions (>100 bp, 100% conserved among mammals) exist in the genome and their function remains unknown
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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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An analysis of human microRNA and disease associations.
PMID 18923704 · PMC2559869 · PloS one · 2008 · 8 claims · 8 setups
MicroRNAs tend to show similar dysfunctional evidence (both up- or both down-regulated) for diseases within the same disease cluster, and different dysfunctional evidence between different disease clusters.