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 · 40
Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer.
PMID 39100839 · PMC11291408 · Translational andrology and urology · 2024 · 8 claims · 8 setups
An integrative machine learning procedure (10 methods, 101 algorithm combinations) identified an Enet (alpha=0.2)-based intratumor heterogeneity-related signature (IRS) with the highest average C-index (0.69) across TCGA and GEO cohorts
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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 · 8 claims · 7 setups
DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data
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Has reproduction · 81
Deubiquitination enzyme USP35 negatively regulates MAVS signaling to inhibit anti-tumor immunity.
PMID 40016186 · PMC11868397 · Cell death & disease · 2025 · 8 claims · 8 setups
USP35 interacts with MAVS and removes its K63-linked polyubiquitin chains, inhibiting viral-induced MAVS-TBK1-IRF3 activation and downstream inflammatory gene expression
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Has reproduction · 51
A platelet-related signature for predicting the prognosis and immunotherapy benefit in bladder cancer based on machine learning combinations.
PMID 39280688 · PMC11399026 · Translational andrology and urology · 2024 · 8 claims · 8 setups
An Enet (alpha=0.4) machine-learning algorithm built from 10 platelet-related genes yields the optimal platelet-related signature (PRS) for bladder cancer prognosis, with average C-index 0.73
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Has reproduction · 71
Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.
PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups
AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)