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).
-
Has reproduction · 91
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.
PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups
DeClust is a reference-profile-free deconvolution method that incorporates molecular subtyping directly into the deconvolution process, outputting cohort-level cancer subtype and stromal reference profiles rather than per-individual profiles
-
Full-text index only
HapMap-based study of the 17q21 ERBB2 amplicon in susceptibility to breast cancer.
PMID 17117180 · PMC2360759 · British journal of cancer · 2006 · 6 claims · 5 setups
Common genetic variation (tSNPs and haplotypes) across the 400-kb 17q21 ERBB2 amplicon is not associated with breast cancer risk in British women.
-
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
-
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
-
Full-text index only
Novel fatty acid metabolism-related molecular subtyping and prognostic signature for breast cancer.
PMID 41674979 · PMC12885896 · Translational cancer research · 2026 · 8 claims · 8 setups
A FAM-related gene prognostic model (FAMGM) built using CoxBoost and random survival forest was identified as the optimal model among 101 machine learning combinations, based on highest average C-index across TCGA-BRCA and GSE96058 cohorts
-
Full-text index only
Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.
PMID 41854308 · PMC13009810 · Science progress · 2026 · 8 claims · 8 setups
Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms
-
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
-
Full-text index only
DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.
PMID 42152108 · PMC13185202 · Genome medicine · 2026 · 8 claims · 5 setups
Relatively simple ML models (logistic regression) outperform complex algorithms such as deep neural networks for methylation-based cancer classification
-
Full-text index only
Endothelial-derived PANoptosis factor IL33 is a potential immunotherapy in breast cancer.
PMID 42095097 · PMC13141053 · iScience · 2026 · 8 claims · 8 setups
NMF clustering of PANoptosis-related gene expression stratifies breast cancer patients into three distinct molecular clusters (C1, C2, C3)
-
Full-text index only
Fibroblast-associated CTHRC1 as a key indicator of recurrence risk in prostate cancer.
PMID 41832493 · PMC13101373 · World journal of surgical oncology · 2026 · 7 claims · 8 setups
Pathological T stage, N stage, Gleason score, and TP53 mutation are associated with higher PRAD recurrence risk
-
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)