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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Has reproduction · 83
Macrel: antimicrobial peptide screening in genomes and metagenomes.
PMID 33384902 · PMC7751412 · PeerJ · 2020 · 8 claims · 8 setups
Macrel is an end-to-end pipeline that predicts high-quality AMP candidates from peptides, contigs, or reads of (meta)genomes
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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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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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Immersive virtual environment technology: a promising tool for future social and behavioral genomics research and practice.
PMID 20183376 · PMC2829714 · Health communication · 2009 · 8 claims · 4 setups
IVET allows researchers to simultaneously maintain high experimental control and high mundane realism, unlike traditional research settings where these trade off against each other.
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Has reproduction · 76
Tracing human genetic histories and natural selection with precise local ancestry inference.
PMID 40379651 · PMC12084304 · Nature communications · 2025 · 7 claims · 7 setups
Orchestra, a two-stage LAI method combining a recombination-distance base layer with a deep learning (convolutional + attention) smoothing module, outperforms RFmix, FLARE and Gnomix in precision and recall across simulated admixture generations.
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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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Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics.
PMID 18053132 · PMC2254445 · BMC bioinformatics · 2007 · 6 claims · 5 setups
The paired oligo-border kernel (POBK) combined with SVMs predicts peptide adsorption/elution in SAX-SPE and retention time in IP-RP-HPLC more accurately than existing methods.
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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)