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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Proteomic profiling in ovarian cancer.
PMID 19955909 · PMC7319026 · International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2009 · 8 claims · 6 setups
No validated or cost-efficient screening program exists for ovarian cancer; physical exam, CA125, and transvaginal ultrasound lack sufficient sensitivity/specificity for early-stage detection.
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Genomic and proteomic approaches for studying human cancer: prospects for true patient-tailored therapy.
PMID 15601541 · PMC3525069 · Human genomics · 2004 · 8 claims · 6 setups
DNA microarray gene expression profiling generates robust molecular classifications for many tumour types (brain, breast, colon, gastric, kidney, leukaemia, lymphoma, lung, melanoma, ovary, prostate, etc.)
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Has reproduction · 100
Exploring Gene Expression Patterns in Alzheimer's Disease Using a Human Microarray Data Meta-Analysis.
PMID 41744654 · PMC12938635 · Biology · 2026 · 6 claims · 7 setups
AD brains show a distinct transcriptomic profile with up-regulation of immune/inflammation genes and down-regulation of synapse/neuronal-signaling genes
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Critical care: applying genomics to inflammation outcomes.
PMID 16330338 · PMC1314943 · Environmental health perspectives · 2005 · 8 claims · 6 setups
Genetic factors drive key aspects of an individual's inflammatory outcome after trauma, burns, or sepsis
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Expoldb: expression linked polymorphism database with inbuilt tools for analysis of expression and simple repeats.
PMID 17038195 · PMC1618849 · BMC genomics · 2006 · 8 claims · 6 setups
EXPOLDB is a novel database integrating human gene expression variability data (including monozygotic twin comparisons) with (TG/CA)n repeat polymorphism information
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Identification of the transcriptional response of human intestinal mucosa to Lactobacillus plantarum WCFS1 in vivo.
PMID 18681965 · PMC2519092 · BMC genomics · 2008 · 8 claims · 6 setups
1-h and 6-h intraduodenal exposure of human small intestinal mucosa to L. plantarum WCFS1 induces differential expression of 669 and 424 gene reporters, respectively.
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Identification of gene interactions associated with disease from gene expression data using synergy networks.
PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups
Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.
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Fibroblasts from patients with Diamond-Blackfan anaemia show abnormal expression of genes involved in protein synthesis, amino acid metabolism and cancer.
PMID 19765279 · PMC2760583 · BMC genomics · 2009 · 8 claims · 5 setups
Global microarray profiling reveals 421 genes differentially expressed in DBA patient fibroblasts compared to healthy controls
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Has reproduction · 32
Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods.
PMID 34307679 · PMC8272456 · BioMed research international · 2021 · 7 claims · 2 setups
A pipeline combining Boruta and mRMR feature selection with incremental feature selection (IFS) was used to identify COVID-19-specific transcriptomic biomarkers from blood gene expression data.
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Has reproduction · 44
Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.
PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups
DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection
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Has reproduction · 83
Discovery and validation of molecular patterns and immune characteristics in the peripheral blood of ischemic stroke patients.
PMID 38650649 · PMC11034498 · PeerJ · 2024 · 8 claims · 8 setups
188 differentially expressed genes (DEGs) between IS and control blood samples were identified and enriched in immune-related biological pathways
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Fingerprinting cancer development.
PMID 14694892 · PMC1241638 · Environmental health perspectives · 2003 · 8 claims · 6 setups
Protein microarrays can detect phosphoprotein fingerprints that identify early-stage cancer or monitor drug toxicity.
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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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Logical Analysis of Data (LAD) model for the early diagnosis of acute ischemic stroke.
PMID 18616825 · PMC2492849 · BMC medical informatics and decision making · 2008 · 7 claims · 5 setups
An LAD classification model built from a support-set of 3 peptide peaks can distinguish stroke patients from controls with 75% accuracy on an independent validation set
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Peripheral blood B lymphocytes derived from patients with idiopathic pulmonary arterial hypertension express a different RNA pattern compared with healthy controls: a cross sectional study.
PMID 18269757 · PMC2262076 · Respiratory research · 2008 · 7 claims · 4 setups
IPAH patients' peripheral blood B-lymphocytes express a distinct RNA profile compared with healthy controls
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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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Application of serum SELDI proteomic patterns in diagnosis of lung cancer.
PMID 16029516 · PMC1183195 · BMC cancer · 2005 · 6 claims · 2 setups
A five-protein-peak SELDI decision-tree pattern (11493, 6429, 8245, 5335, 2538 Da) distinguishes lung cancer sera from healthy control sera with relatively high sensitivity and specificity
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Has reproduction · 62
A curated collection of transcriptome datasets to investigate the molecular mechanisms of immunoglobulin E-mediated atopic diseases.
PMID 31290545 · PMC6616200 · Database : the journal of biological databases and curation · 2019 · 5 claims · 8 setups
A curated collection of 33 GEO transcriptome datasets relevant to IgE-mediated atopic diseases (allergies to primary immunodeficiencies) was assembled, encompassing 1860 transcriptome profiles.
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Proteomics: characterizing the cogs in the machinery of life.
PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups
Protein expression patterns in blood serum, detected via SELDI-TOF mass spectrometry and analyzed with a genetic algorithm, can distinguish ovarian cancer patients from healthy individuals with very high sensitivity and specificity.
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Application of ProteinChip array profiling in serum biomarker discovery for patients suffering from severe acute respiratory syndrome.
PMID 18220240 · PMC7120874 · Methods in molecular biology (Clifton, N.J.) · 2007 · 8 claims · 5 setups
SELDI-TOF-MS ProteinChip array profiling of serum can identify differentially expressed protein biomarkers in SARS-CoV infected patients versus controls.