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 · 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 · 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 · 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 · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 3 setups
Graph Random Forest (GRF) embeds graph/network information directly into the decision-tree building process by splitting on features in the k-hop neighborhood of a data-driven head-splitting node.
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Has reproduction · 65
Interpretable and integrative analysis of single-cell multiomics with scMKL.
PMID 40770488 · PMC12328712 · Communications biology · 2025 · 8 claims · 7 setups
scMKL combines multiple kernel learning with random Fourier features and group Lasso to jointly model transcriptomic and epigenomic single-cell data interpretably
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Has reproduction · 69
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.
PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups
An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.
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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
Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.
PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups
The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells
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Has reproduction
Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.
PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 7 claims · 8 setups
Tabular ML classifiers (TabNet, XGBoost, LightGBM) trained on tumor-only-derived features achieve state-of-the-art somatic vs germline classification, with AUC>94% on TCGA holdout and AUC>85% on metastatic melanoma.
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Has reproduction · 73
Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.
PMID 37218167 · PMC10208159 · Epigenetics · 2023 · 8 claims · 7 setups
Probe-specific upper and lower thresholds for flagging aberrant DNA methylation can be derived from a reference database of >2,000 normal and tumour-adjacent normal samples spanning 25 tissue types.
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Has reproduction · 62
scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.
PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups
scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer