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 · 80
Specific signature biomarkers highlight the potential mechanisms of circulating neutrophils in aneurysmal subarachnoid hemorrhage.
PMID 36438795 · PMC9685413 · Frontiers in pharmacology · 2022 · 7 claims · 8 setups
Six genes (CST7, HSP90AB1, PADI4, PLBD1, RAB32, SLAMF6) are signature diagnostic biomarkers for aSAH identified by LASSO and SVM-RFE.
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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 · 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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Exhaustive prediction of disease susceptibility to coding base changes in the human genome.
PMID 18793467 · PMC2537574 · BMC bioinformatics · 2008 · 8 claims · 7 setups
Inter-species conservation is the strongest single predictor of disease-associated coding mutations among the factors tested.
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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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Discovering cancer genes by integrating network and functional properties.
PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups
Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes
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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 · 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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Has reproduction · 80
Comprehensive analysis of transcriptomics and radiomics revealed the potential of TEDC2 as a diagnostic marker for lung adenocarcinoma.
PMID 39553728 · PMC11569783 · PeerJ · 2024 · 8 claims · 8 setups
WGCNA identified 214 key genes in the blue module most correlated with LUAD
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Has reproduction · 66
Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1.
PMID 37583471 · PMC10423927 · Neurobiology of stress · 2023 · 7 claims · 5 setups
Differentially expressed genes in MDD patients are enriched in immune response, inflammatory response, neurodegeneration, and cerebellar atrophy pathways.
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Has reproduction · 50
Wx: a neural network-based feature selection algorithm for transcriptomic data.
PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups
The Wx algorithm ranks genes by a discriminative index (DI) score representing classification power for distinguishing given groups, enabling intuitive selection of optimal biomarker genes.
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Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups
Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions
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Has reproduction · 62
Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.
PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups
A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.
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Has reproduction · 50
STAT1 and IL-7 as potential diagnostic biomarkers for distinguishing high-grade from low-grade serous ovarian cancer: a multi-cohort analysis.
PMID 42058211 · PMC13120972 · Frontiers in immunology · 2026 · 8 claims · 7 setups
STAT1 and IL-7 are differentially expressed immune-related genes that can distinguish HGSOC from LGSOC with strong diagnostic performance in the training cohort (AUC 0.908 and 0.842).
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All systems GO for understanding mouse gene function.
PMID 15610553 · PMC549721 · Journal of biology · 2004 · 7 claims · 4 setups
Quantitative, multivariate cross-tissue expression measurements are powerfully predictive of gene function
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Has reproduction · 84
Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.
PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups
A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts
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Has reproduction · 83
Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.
PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups
170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions
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Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.
PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups
Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments
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Sequence and structure signatures of cancer mutation hotspots in protein kinases.
PMID 19834613 · PMC2759519 · PloS one · 2009 · 8 claims · 6 setups
Developed CKMD (Composite Kinase Mutation Database), an integrated bioinformatics resource mapping genetic variation in protein kinase genes to sequence, structural, and functional data
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Has reproduction · 55
Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies.
PMID 34107850 · PMC8806433 · Bioengineered · 2021 · 6 claims · 6 setups
TYR, TYRP1, DCT and LARP7 are biomarkers associated with vitiligo