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).

• EXPLANA: a user-friendly workflow for EXPLoratory ANAlysis and feature selection in cross-sectional and longitudinal microbiome studies.

  PMID 41416890 · PMC12766912 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  EXPLANA is a feature selection workflow for longitudinal microbiome studies (LMS) that supports numerical and categorical data and also accommodates cross-sectional studies.

  simulated same simulation comparative runtime

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

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

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  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

• Early feature extraction drives model performance in high-resolution chromatin accessibility prediction.

  PMID 41526189 · PMC12951969 · Genome research · 2026 · 8 claims · 6 setups

  Full-text index only

  Early feature extraction (via ConvNeXt V2 blocks), rather than downstream architecture type, is the primary determinant of prediction accuracy in high-resolution chromatin accessibility prediction.

  lines cancer sets gm12878 atac-seq peak input-shift

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

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

  Full-text index only

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

  breast preprocessed microarray two-color perturbation

• 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

• 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