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 · 80
Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.
PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups
Combining WGCNA-derived hub genes with a VAE-derived 10-dimensional representation as features for an SVM classifier achieves high accuracy (0.9692) and AUC (0.9981) for colorectal cancer prediction.
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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated
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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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Has reproduction · 99
Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing.
PMID 34103501 · PMC8187371 · Nature communications · 2021 · 7 claims · 4 setups
Nanopore methylation detection tools exhibit a tradeoff between false positives and false negatives and high dispersion relative to expected per-site methylation frequencies.
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Has reproduction · 42
Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.
PMID 39152432 · PMC11328457 · Journal of translational medicine · 2024 · 7 claims · 8 setups
PAAD tumors can be consensus-clustered into immunologically hot and cold subtypes based on CIBERSORT-derived immune cell fractions, with significantly different survival outcomes.
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Has reproduction · 78
Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.
PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups
A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response
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Predicting failure rate of PCR in large genomes.
PMID 18492719 · PMC2441781 · Nucleic acids research · 2008 · 7 claims · 8 setups
The number of predicted primer-binding sites in genomic DNA is the most important factor determining PCR failure.
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A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.
PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups
A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types
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Has reproduction · 73
Comprehensive analysis of mitophagy in HPV-related head and neck squamous cell carcinoma.
PMID 37161060 · PMC10170109 · Scientific reports · 2023 · 8 claims · 8 setups
In HPV-associated HNSCC, the mitophagy process affects tumour development, immune cell infiltration and prognosis.
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes
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In silico segmentations of lentivirus envelope sequences.
PMID 17376229 · PMC1847453 · BMC bioinformatics · 2007 · 8 claims · 8 setups
C and V regions of lentivirus SU sequences have distinct statistical (oligonucleotide/amino-acid) compositions that HMMs can learn and use to delimit them.
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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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Cataloging coding sequence variations in human genome databases.
PMID 18974781 · PMC2570488 · PloS one · 2008 · 8 claims · 7 setups
A significant proportion of CVs overlap between HGMD and dbSNP (4.36% of HGMD CVs registered in dbSNP; 8.11% of dbSNP CVs registered in HGMD), warranting caution when interpreting phenotypic relevance of concurrent CVs.