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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Development of proteomic patterns for detecting lung cancer.
PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups
A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls
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AceView: a comprehensive cDNA-supported gene and transcripts annotation.
PMID 16925834 · PMC1810549 · Genome biology · 2006 · 8 claims · 4 setups
At the mRNA level, AceView transcripts are the closest match to Gencode transcripts among all evaluated methods, including alternative splice variants
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Determination of point mutational spectra of benzo[a]pyrene-diol epoxide in human cells.
PMID 1486852 · PMC1519600 · Environmental health perspectives · 1992 · 5 claims · 4 setups
A new protocol combining en masse 6-thioguanine-resistant mutant selection, high-fidelity PCR amplification, and DGGE separation can determine point mutational spectra in human cells with high precision and reproducibility
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AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.
PMID 16925833 · PMC1810548 · Genome biology · 2006 · 8 claims · 5 setups
AUGUSTUS predicted significantly more genes correctly than any other ab initio program in EGASP
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Detection of venous thromboembolism by proteomic serum biomarkers.
PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups
A neural network-based classifier built from direct MALDI-TOF MS serum protein expression profiles can diagnose VTE with sensitivity/specificity that exceeds D-dimer assays
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EGASP: the human ENCODE Genome Annotation Assessment Project.
PMID 16925836 · PMC1810551 · Genome biology · 2006 · 8 claims · 6 setups
Best-performing computational gene prediction methods correctly predict at least one transcript for close to 70% of annotated genes in the ENCODE regions.
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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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Has reproduction · 76
Correcting scale distortion in RNA sequencing data.
PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups
Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)
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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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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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Needles in the haystack: identifying individuals present in pooled genomic data.
PMID 19798441 · PMC2747273 · PLoS genetics · 2009 · 8 claims · 7 setups
The distribution of T for null samples (individuals not in F or G) deviates strongly from the assumed standard normal, in both location and width.
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Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer.
PMID 19689818 · PMC2743709 · BMC cancer · 2009 · 7 claims · 3 setups
The previously reported classifier (m/z 8,132 and 4,002) failed to discriminate CRC patients from healthy volunteers in this independent validation cohort
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Using multiple alignments to improve seeded local alignment algorithms.
PMID 16100379 · PMC1185574 · Nucleic acids research · 2005 · 8 claims · 2 setups
Using information implicit in a multiple alignment to dynamically build a spaced-seed index weighted toward promising regions increases sensitivity of local alignment search compared to indexing a sequence alone
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.
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Has reproduction · 65
FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq.
PMID 23768108 · PMC3691734 · BMC bioinformatics · 2013 · 8 claims · 8 setups
FusionQ is a novel tool that detects gene fusions, constructs chimerical transcript structures, and estimates their abundances from paired-end RNA-Seq data.
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Serum diagnosis of diffuse large B-cell lymphomas and further identification of response to therapy using SELDI-TOF-MS and tree analysis patterning.
PMID 18163913 · PMC2242801 · BMC cancer · 2007 · 8 claims · 8 setups
SELDI-TOF-MS serum proteomic patterns analyzed by decision tree classification (Biomarker Pattern Software) can discriminate DLBCL patients from healthy controls with high sensitivity and specificity.
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Construction and use of spotted large-insert clone DNA microarrays for the detection of genomic copy number changes.
PMID 17406619 · PMC2688820 · Nature protocols · 2007 · 8 claims · 7 setups
Combining three human-optimized DOP-PCR primers before a secondary amino-labeled PCR increases array hybridization sensitivity and reproducibility sixfold compared to the standard 6MW DOP-PCR primer
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Application of machine learning in SNP discovery.
PMID 16398931 · PMC1955739 · BMC bioinformatics · 2006 · 8 claims · 6 setups
PolyBayes produces high false-positive SNP predictions even with stringent parameters
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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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Discovery and identification of potential biomarkers of papillary thyroid carcinoma.
PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups
A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity