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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Full-text index only
Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays.
PMID 16549007 · PMC1544357 · BMC bioinformatics · 2006 · 7 claims · 2 setups
A methodology combining Cox proportional hazards models with a compound covariate, cross-validated log partial likelihood (ACVL) for predictive accuracy, and permutation-based significance testing can identify an optimal subset of significant genes for survival prediction
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Has reproduction · 32
Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.
PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 7 claims · 4 setups
A panel of 22 genetic features with Naïve Bayes can predict whether lung adenocarcinoma patient survival time is >3 years (accuracy=75%, AUC=0.81).
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Has reproduction · 50
Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.
PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups
A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database
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Has reproduction · 71
Assessment tool based on fatty acid metabolic signatures for predicting the prognosis and treatment response in bladder cancer.
PMID 38076064 · PMC10703629 · Heliyon · 2023 · 8 claims · 8 setups
Consensus clustering of prognosis-related fatty acid metabolism genes (FAMGs) identifies three molecular subtypes of BLCA (FAMC1, FAMC2, FAMC3) with distinct prognoses and tumor microenvironments
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Has reproduction · 77
SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.
PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 7 claims · 6 setups
SurvConvMixer reformats KEGG Pathways-in-Cancer gene expression values into pathway-level 2D gene expression images and applies a ConvMixer-based model for overall survival prediction
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Has reproduction · 51
Construction and Validation of an Immune Infiltration-Related Gene Signature for the Prediction of Prognosis and Therapeutic Response in Breast Cancer.
PMID 33986754 · PMC8110914 · Frontiers in immunology · 2021 · 7 claims · 8 setups
A 15-gene immune infiltration-related signature (IRS) predicts overall survival in breast cancer, with higher IRS indicating worse prognosis
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Has reproduction · 83
Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancer.
PMID 40472802 · PMC12171563 · EBioMedicine · 2025 · 6 claims · 7 setups
AI-derived radiological clustering identifies stage II CRC patients with significantly different survival benefit from adjuvant chemotherapy
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Has reproduction · 48
Indoleamine 2, 3-Dioxygenase 1 and CD8 Expression Profiling Revealed an Immunological Subtype of Colon Cancer With a Poor Prognosis.
PMID 33425745 · PMC7793995 · Frontiers in oncology · 2020 · 7 claims · 6 setups
The CD8A-high/IDO1-high colon cancer subtype (group IV*) has the worst survival despite high CD8 infiltrates.
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Full-text index only
Predicting survival within the lung cancer histopathological hierarchy using a multi-scale genomic model of development.
PMID 16800721 · PMC1483910 · PLoS medicine · 2006 · 8 claims · 8 setups
Multi-scale genomic similarities exist between four human lung cancer subtypes and the developing mouse lung, and these similarities are prognostically meaningful.
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Has reproduction · 92
Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data.
PMID 41957754 · PMC13188360 · BioData mining · 2026 · 7 claims · 3 setups
The hEFS framework integrates data subsampling with multiple prognostic models (embedded and wrapper-based), aggregates feature rankings via a voting-theory-inspired approach, and selects the optimal feature subset via Pareto front optimization, eliminating user-defined thresholds.
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Has reproduction · 85
A novel oxidative stress-related gene signature as an indicator of prognosis and immunotherapy responses in HNSCC.
PMID 38157249 · PMC10781479 · Aging · 2023 · 6 claims · 7 setups
A nine-gene oxidative stress-related scoring (OSRS) model (AREG, CES1, CSTA, FDCSP, JCHAIN, IFFO2, PGLYRP4, SPOCK2, SPINK6) predicts overall survival in HNSCC.
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Has reproduction · 83
Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.
PMID 39856156 · PMC11760357 · Scientific reports · 2025 · 8 claims · 8 setups
Ten multiomics clustering algorithms identify two distinct lactylation cancer subtypes (CS1 and CS2) in LUAD
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Has reproduction · 71
Developing a novel immune infiltration-associated mitophagy prediction model for amyotrophic lateral sclerosis using bioinformatics strategies.
PMID 38601155 · PMC11005030 · Frontiers in immunology · 2024 · 7 claims · 6 setups
An 18-gene mitophagy-related prognostic signature was identified by machine learning and used to build a prognostic risk score model for ALS.
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Has reproduction · 63
Clustering and machine learning-based integration identify cancer associated fibroblasts genes' signature in head and neck squamous cell carcinoma.
PMID 37065499 · PMC10098459 · Frontiers in genetics · 2023 · 8 claims · 8 setups
Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes
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Has reproduction · 81
CCL8 as a promising prognostic factor in diffuse large B-cell lymphoma via M2 macrophage interactions: A bioinformatic analysis of the tumor microenvironment.
PMID 36072582 · PMC9441746 · Frontiers in immunology · 2022 · 7 claims · 4 setups
CCL8 is a promising independent prognostic factor in DLBCL associated with M2 macrophage interactions
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Has reproduction · 53
Molecular Biomarker of Drug Resistance Developed From Patient-Derived Organoids Predicts Survival of Colorectal Cancer Patients.
PMID 35425715 · PMC9004628 · Frontiers in oncology · 2022 · 8 claims · 7 setups
Patient-derived colorectal cancer organoids (CRCOs) can be established from surgical CRC tissue with an 82% success rate (41/50)
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Has reproduction · 88
Constructing an APOBEC-related gene signature with predictive value in the overall survival and therapeutic sensitivity in lung adenocarcinoma.
PMID 37954334 · PMC10637964 · Heliyon · 2023 · 8 claims · 8 setups
APOBEC family genes are aberrantly expressed across cancers, with APOBEC3B the most consistently upregulated, and APOBEC3B/APOBEC3A are markedly altered in LUAD
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Has reproduction · 59
Identifying Molecular Subtypes and 6-Gene Prognostic Signature Based on Hypoxia for Optimizing Targeted Therapies in Non-Small Cell Lung Cancer.
PMID 35509605 · PMC9058021 · International journal of general medicine · 2022 · 8 claims · 8 setups
NSCLC samples can be classified into two molecular subtypes (C1 and C2) based on hypoxia-related gene expression via consensus clustering
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Has reproduction · 96
Hypoxia-associated genes as predictors of outcomes in gastric cancer: a genomic approach.
PMID 40129974 · PMC11931070 · Frontiers in immunology · 2025 · 8 claims · 8 setups
A prognostic model built from five H1-specific hypoxia-associated transcription factors (EHF, EIF1AD, GLA, KEAP1, MAGED2) predicts overall survival in STAD, with high-risk patients showing significantly worse OS.
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 6 claims · 7 setups
DeepProg, an ensemble of deep-learning and machine-learning models, robustly predicts patient survival subtypes from multi-omics data and explicitly models survival as the objective while predicting new patient risks