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 · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.
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Has reproduction · 59
Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.
PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 7 claims · 8 setups
Eight gene modules linked to metastasis were identified via scored network analysis and validated through pathway databases.
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We are the genes we've been waiting for: rational responses to the gathering storm of personal genomics.
PMID 19998110 · PMC3749831 · The American journal of bioethics : AJOB · 2009 · 8 claims · 5 setups
Medical establishment critics dismissed PGT information in 2008 as either not worth much or dangerous
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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 · 85
Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.
PMID 38254989 · PMC10815467 · Genes · 2024 · 8 claims · 8 setups
Combining scRNA-seq and spatial transcriptomics enables inference of malignant cells at the invasive front of the ER+ breast cancer TME and dissection of events at the tumor infiltration forefront
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Has reproduction · 74
Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.
PMID 39779736 · PMC11711664 · Scientific reports · 2025 · 8 claims · 8 setups
540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed
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Has reproduction · 92
A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.
PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups
The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network
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Has reproduction · 54
Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes.
PMID 37190091 · PMC10137100 · Cells · 2023 · 8 claims · 8 setups
Single-cell transcriptomic analysis of EPCAM+Lin- epithelial cells identified unique gene signatures/markers that distinguish ER+, HER2+, ER+HER2+, and TNBC molecular subtypes
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Has reproduction · 87
Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.
PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups
Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)
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Indirect genomic effects on survival from gene expression data.
PMID 18358079 · PMC2397510 · Genome biology · 2008 · 7 claims · 6 setups
A novel methodology (dynamic path analysis combined with additive hazard survival regression) can detect and quantify indirect effects of gene expression on survival mediated through transcription factor target genes.
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CYCLONET--an integrated database on cell cycle regulation and carcinogenesis.
PMID 17202170 · PMC1899094 · Nucleic acids research · 2007 · 7 claims · 4 setups
Cyclonet is a web-based integrated database combining 'omics' and chemoinformatics data on mammalian cell cycle regulation in normal and pathological (cancer) states, built on a systems biology approach.
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Has reproduction · 59
Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.
PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups
The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance
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Has reproduction · 92
Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.
PMID 34056582 · PMC8155268 · Frontiers in artificial intelligence · 2021 · 8 claims · 8 setups
MCF-7 cell lines and human breast cancer tissues share only minimal similarity in biological processes, though fundamental functions such as cell cycle are conserved
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Has reproduction · 95
Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.
PMID 38974967 · PMC11225361 · iScience · 2024 · 7 claims · 7 setups
Luminal breast cancer gene expression signature is closely/positively associated with an epithelial signature
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Human disease classification in the postgenomic era: a complex systems approach to human pathobiology.
PMID 17625512 · PMC1948102 · Molecular systems biology · 2007 · 8 claims · 5 setups
Current syndromic disease classification lacks specificity despite historically serving clinicians well
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Network-assisted protein identification and data interpretation in shotgun proteomics.
PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups
Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.
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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
Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs
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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
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Has reproduction · 95
A systems-level analysis of the mutually antagonistic roles of RKIP and BACH1 in dynamics of cancer cell plasticity.
PMID 37963558 · PMC10645512 · Journal of the Royal Society, Interface · 2023 · 8 claims · 7 setups
RKIP and BACH1 are negatively correlated with each other across most cancer types in TCGA
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Has reproduction · 50
SMAC, a computational system to link literature, biomedical and expression data.
PMID 31324861 · PMC6642118 · Scientific reports · 2019 · 7 claims · 6 setups
SMAC is a tool that extracts, prioritises, integrates and analyses biomedical literature and molecular data according to user-defined terms, linking PubMed and GEO.