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).

• An OMICs-based meta-analysis to support infection state stratification.

  PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups

  Has reproduction · 44

  Multi-class Random Forest models built from meta-analyzed blood gene expression data can predict infection state (bacterial/viral/none) with high accuracy, correctly classifying 93% of bacterial and 89% of viral samples in the best model.

  blood merged affymetrix-trained microarray random gene

• A comprehensive toolkit for analyzing cell-free DNA genomic sequencing data in liquid biopsy.

  PMID 42111187 · PMC13157187 · iScience · 2026 · 8 claims · 8 setups

  Full-text index only

  cfDNAanalyzer integrates feature extraction, feature processing/selection, and machine learning model building into a single one-command-line toolkit for cfDNA genomic sequencing data

  balanced breast healthy multi-cancer cfdna machine computational

• Prediction of Antimicrobial Resistance in Gram-Negative Bacteria From Whole-Genome Sequencing Data.

  PMID 32528441 · PMC7262952 · Frontiers in microbiology · 2020 · 8 claims · 5 setups

  Has reproduction · 100

  WGS-derived antibiotic resistance gene (ARG) coverage can be used to predict antimicrobial resistance in Gram-negative bacteria via machine learning

  gram-negative in-house args curated shotgun genome phenotypic

• Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.

  PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction

  Tree-based (XGBoost, LightGBM) and deep-learning (TabNet) tabular ML classifiers achieve state-of-the-art somatic vs germline classification in tumor-only WES samples, outperforming PureCN.

  tcga same metastatic tumor-only whole-exome wes copy-number

• DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.

  PMID 42152108 · PMC13185202 · Genome medicine · 2026 · 8 claims · 5 setups

  Full-text index only

  Relatively simple ML models (logistic regression) outperform complex algorithms such as deep neural networks for methylation-based cancer classification

  validation cns healthy genes methylation copy-number gene-set