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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Has reproduction · 90
Inferring a spatial code of cell-cell interactions across a whole animal body.
PMID 36395331 · PMC9714814 · PLoS computational biology · 2022 · 8 claims · 6 setups
cell2cell computes cell-cell interaction (CCI) potential using a novel modified Bray-Curtis score based on complementary coexpression of ligand-receptor pairs between cells
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ADZE: a rarefaction approach for counting alleles private to combinations of populations.
PMID 18779233 · PMC2732282 · Bioinformatics (Oxford, England) · 2008 · 6 claims · 2 setups
A generalized rarefaction-based statistic can estimate the sample size-corrected number of distinct alleles private to any combination of populations, generalizing Kalinowski's (2004) private allelic richness to groups of populations.
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Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines.
PMID 18005451 · PMC2216041 · BMC bioinformatics · 2007 · 8 claims · 5 setups
Parepro, an SVM-based method integrating three attribute sets (RD, MI, IE) derived from evolutionary and residue-property information, predicts whether an nsSNP is deleterious or neutral.
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Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information.
PMID 18588693 · PMC2446391 · BMC bioinformatics · 2008 · 8 claims · 5 setups
A decision tree built on 10 selected sequence-derived features classifies SAPs as Disease or Polymorphism with 82.6% accuracy and 0.607 MCC in cross-validation.
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SNP haplotype tagging from DNA pools of two individuals.
PMID 12709267 · PMC156884 · BMC bioinformatics · 2003 · 8 claims · 3 setups
An algorithm can reconstruct haplotypes from pools of two individuals' DNA under very general conditions, without requiring Hardy-Weinberg equilibrium.
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Has reproduction · 94
Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.
PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups
HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)
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Has reproduction · 78
A single-cell compendium of human cerebrospinal fluid identifies disease-associated immune cell populations.
PMID 39744938 · PMC11684814 · The Journal of clinical investigation · 2025 · 8 claims · 4 setups
Integration of public and newly generated scRNA-seq datasets yields a compendium of 139 subjects (193 samples, 403,973 immune cells) spanning CSF and blood across healthy controls and multiple neurologic diseases.
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SePaCS--a web-based application for classification of seroreactivity profiles.
PMID 17478503 · PMC1933220 · Nucleic acids research · 2007 · 8 claims · 4 setups
SePaCS is a freely available web-based tool that trains and applies multiple classification methods (4 Naive Bayes variants, SVM with RBF kernel, LDA, DLDA) to seroreactivity profiles and outputs results as a summary table plus a detailed PDF report
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High-density SNP genotyping to define beta-globin locus haplotypes.
PMID 18829352 · PMC4251776 · Blood cells, molecules & diseases · 2009 · 8 claims · 5 setups
RFLP analysis lacks sufficient site density/coverage to accurately reflect the genomic complexity of the β-locus
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Has reproduction · 77
Accurate chromatin marks peak calling with Omnipeak.
PMID 41521664 · PMC12784980 · Nucleic acids research · 2026 · 8 claims · 6 setups
Omnipeak is a universal unsupervised peak-calling algorithm based on a constrained three-state hidden Markov model (zero, noise, signal states)
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Has reproduction · 67
Sequencing mRNA from cryo-sliced Drosophila embryos to determine genome-wide spatial patterns of gene expression.
PMID 23951250 · PMC3741199 · PloS one · 2013 · 8 claims · 8 setups
Cryosectioning single blastoderm-stage D. melanogaster embryos along the A–P axis and sequencing mRNA from each slice yields reliable genome-wide spatial expression patterns.
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High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer.
PMID 17925008 · PMC2246289 · Genome biology · 2007 · 7 claims · 8 setups
A novel subtype of high-grade ER-negative breast cancer exists, characterized by a low genomic instability index (GII)
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Has reproduction · 59
Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.
PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups
The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance
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POCUS: mining genomic sequence annotation to predict disease genes.
PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups
Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance
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Tri-nucleotide threading for parallel amplification of minute amounts of genomic DNA.
PMID 16582098 · PMC1421508 · Nucleic acids research · 2006 · 6 claims · 5 setups
TnT enables parallel amplification of 75 SNPs from sub-nanogram amounts of genomic DNA
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Relative impact of nucleotide and copy number variation on gene expression phenotypes.
PMID 17289997 · PMC2665772 · Science (New York, N.Y.) · 2007 · 8 claims · 5 setups
SNPs and CNVs capture largely non-overlapping signals of genetic variation affecting gene expression
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Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.
PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups
A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk
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Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.
PMID 19936259 · PMC2775948 · PloS one · 2009 · 8 claims · 8 setups
Integrated proteomic analysis of a cancer mouse model and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.
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Has reproduction · 100
Identification of a PRDM1-regulated T cell network to regulate atherosclerotic plaque inflammation.
PMID 41039608 · PMC12490039 · Genome medicine · 2025 · 6 claims · 7 setups
A distinct gene co-expression module with a prominent T cell signature is enriched in unstable plaques and distinguishes high-risk from low-risk lesions.