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 · 48
Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.
PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups
A hybrid signature combining the Nottingham Prognostic Index with SIS-selected gene expressions can be built in a data-driven fashion (NPI treated as a gene expression during feature selection).
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Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis.
PMID 17518996 · PMC1892811 · BMC bioinformatics · 2007 · 7 claims · 4 setups
The IAB algorithm (integration of ANN and BLAST) identifies genome-wide specific oligos much faster than pure BLAST search while maintaining comparable success rate and cross homology
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Has reproduction · 86
Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.
PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups
A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.
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Has reproduction · 75
ResnetAge: A Resnet-Based DNA Methylation Age Prediction Method.
PMID 38247911 · PMC10813502 · Bioengineering (Basel, Switzerland) · 2023 · 8 claims · 4 setups
ResnetAge, a ResNet-based neural network using 22,278 shared Illumina 27K/450K CpG sites, predicts DNA methylation age from beta values.
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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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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 · 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
Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.
PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups
The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells
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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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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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Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.
PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups
An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes
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Has reproduction · 83
Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.
PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups
CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile
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Speeding disease gene discovery by sequence based candidate prioritization.
PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.
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Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.
PMID 17203985 · PMC2664920 · Journal of proteome research · 2007 · 8 claims · 4 setups
An information-theoretic log-likelihood scoring method can predict experimentally observed missed cleavage sites from amino acid sequence alone with up to 90% accuracy.
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Development of animal models to test the fundamental basis of gene-environment interactions.
PMID 19037209 · PMC2703424 · Obesity (Silver Spring, Md.) · 2008 · 8 claims · 8 setups
Selective breeding for low and high intrinsic aerobic treadmill running capacity produced divergent rat lines (LCR and HCR) that contrast in propensity for complex disease
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Has reproduction · 79
Genome-wide prediction of DNase I hypersensitivity using gene expression.
PMID 29051481 · PMC5715040 · Nature communications · 2017 · 6 claims · 3 setups
Gene expression substantially predicts genome-wide DNase I hypersensitivity (DH), demonstrating transcriptome-based prediction as a feasible approach for regulome mapping
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Has reproduction · 42
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups
CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.
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Integration of text- and data-mining using ontologies successfully selects disease gene candidates.
PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups
Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes
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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