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).

• Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.

  PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups

  Has reproduction · 69

  An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.

  tcga geo 100-mirna mirna feature bibliographic

• Constructing support vector machine ensembles for cancer classification based on proteomic profiling.

  PMID 16689692 · PMC5173238 · Genomics, proteomics & bioinformatics · 2005 · 7 claims · 4 setups

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  CSVME, built by selecting a subset of base SVMs via SVM-RFE ranking and fusing them with a trained upper-layer SVM, achieves better classification performance than an ensemble of all base SVMs.

  serum computational seldi-tof svm-rfe-based 10-fold

• A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.

  PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups

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  Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.

  breast preprocessed microarray two-color perturbation

• Interpretable and integrative analysis of single-cell multiomics with scMKL.

  PMID 40770488 · PMC12328712 · Communications biology · 2025 · 7 claims · 7 setups

  Has reproduction · 65

  scMKL outperforms SVM, EasyMKL, MLP, and XGBoost in classification accuracy (AUROC) across multiple single-cell cancer datasets

  mcf-7 t-47d small prostate 10x scrna-seq sciatac-seq

• Mining expressed sequence tags identifies cancer markers of clinical interest.

  PMID 17078886 · PMC1635568 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  An EST-mining approach (Fisher Exact Test on tumor vs. non-tumor library hit counts) identifies differentially expressed transcripts with an estimated false discovery rate below 22% when human and mouse screens are combined.

  dbest cancer gene est human-mouse leave-one-out

• Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.

  PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups

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  Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.

  serum frozen ig-depleted clinical seldi-tof maldi lc-ms

• Have microarrays failed to deliver for developmental biology?

  PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups

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  Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.

  drosophila caenorhabditis developing xenopus cdna genome-wide microarray

• Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

  PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups

  Has reproduction · 83

  CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile

  cancer clinical training independent methylation upgma random

• Intratumoral heterogeneity in microsatellite instability status at single-cell resolution.

  PMID 41767255 · PMC12936829 · iScience · 2026 · 8 claims · 8 setups

  Has reproduction · 100

  MSI status can be heterogeneous at the single-cell level within a tumor, challenging its use as a binary biomarker

  cancer aggregate single-cell homogeneously single-cell msi cancer

• Emerging translational bioinformatics: knowledge-guided biomarker identification for cancer diagnostics.

  PMID 19964620 · PMC5003034 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2009 · 8 claims · 3 setups

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  omniBiomarker, a web-based application, uses prior biological knowledge to identify the most biologically relevant gene ranking metric for a given clinical problem

  renal microarray qrt-pcr computational

• Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling.

  PMID 40993300 · PMC12460824 · NPJ digital medicine · 2025 · 8 claims · 8 setups

  Has reproduction

  Metabolic status is closely tied to tumor differentiation state, with distinct metabolic reprogramming occurring during thyroid cancer dedifferentiation

  thyroid fuscc gse193581 aggregated untargeted whole-exome transcriptomics

• Wx: a neural network-based feature selection algorithm for transcriptomic data.

  PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups

  Has reproduction · 50

  The Wx algorithm ranks genes by a discriminative index (DI) score representing classification power for distinguishing given groups, enabling intuitive selection of optimal biomarker genes.

  tcga melanoma lung head bulk single-cell rna-seq

• Discovery and identification of potential biomarkers of papillary thyroid carcinoma.

  PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups

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  A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity

  serum hplc-purified trypsin-digested crude seldi-tof-ms solid-phase maldi-tof-ms

• Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework.

  PMID 41925147 · PMC13051084 · Science progress · 2026 · 8 claims · 1 setups

  Has reproduction · 22

  MICRO-AI's attention-weighted feature fusion reduces dimensionality by over 99% (from ~20,000 to ~127 genes) without loss of biological significance

  breast microarray

• A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.

  PMID 19828085 · PMC2762074 · BMC bioinformatics · 2009 · 7 claims · 1 setups

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  A scale-space based unsupervised feature extraction method combined with SVM classification achieves high accuracy in ovarian cancer detection from serum mass spectra.

  serum high-resolution

• Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression.

  PMID 35655723 · PMC9148239 · Contrast media & molecular imaging · 2022 · 8 claims · 8 setups

  Has reproduction · 48

  Breast cancer samples can be divided into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on expression of m6A-related genes, with consistent proportions across datasets

  tcga-brca gse96058 gse25066 bulk gene survival

• CanPredict: a computational tool for predicting cancer-associated missense mutations.

  PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated

  missense observed sjoblom refseq cross-validation recurrence comparative

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• Needles in the haystack: identifying individuals present in pooled genomic data.

  PMID 19798441 · PMC2747273 · PLoS genetics · 2009 · 8 claims · 7 setups

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  The distribution of T for null samples (individuals not in F or G) deviates strongly from the assumed standard normal, in both location and width.

  cgems hapmap genetic-distance within-population snp-count

• Development of proteomic patterns for detecting lung cancer.

  PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups

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  A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls

  serum pooled seldi-tof-ms decision reproducibility