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).

• 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

  Has reproduction · 40

  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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• Pan-cancer evaluation of regulated cell death to predict overall survival and immune checkpoint inhibitor response.

  PMID 38538696 · PMC10973470 · NPJ precision oncology · 2024 · 8 claims · 8 setups

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  RCD score, defined as the sum of ssGSEA scores of 18 RCD signatures, quantifies overall RCD signaling in a sample

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• 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

  Has reproduction · 51

  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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• 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

  Has reproduction · 71

  AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)

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• New strategies in drug discovery.

  PMID 16671397 · PMC7120019 · Methods in molecular biology (Clifton, N.J.) · 2006 · 8 claims · 8 setups

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  A new integrated drug discovery paradigm has emerged combining clinical, genetic, genomic, and molecular phenotype data with cheminformatics, managed via informatics

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