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).

• The formation of avian montane diversity across barriers and along elevational gradients.

  PMID 35022441 · PMC8755808 · Nature communications · 2022 · 8 claims · 8 setups

  Has reproduction · 75

  Genetic differentiation is generally greater across the oceanic barrier separating Buru and Seram than across the lowland barrier separating New Guinea mountain ranges.

  forest population individuals single whole-genome f_st principal

• Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.

  PMID 16984653 · PMC1618409 · BMC bioinformatics · 2006 · 8 claims · 6 setups

  Full-text index only

  The proposed feature set outperforms existing published feature sets for predicting effects of amino acid substitutions

  coli bacteriophage lac proteins svm simulated pearson

• MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.

  PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups

  Full-text index only

  A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs

  real combined pre-mirna training random independent repeated

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

  Full-text index only

  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• Screening large-scale association study data: exploiting interactions using random forests.

  PMID 15588316 · PMC545646 · BMC genetics · 2004 · 7 claims · 3 setups

  Full-text index only

  Random forest importance measure significantly outperforms the Fisher Exact test as a screening tool when risk SNPs interact.

  simulated same simulation random fisher

• Macrel: antimicrobial peptide screening in genomes and metagenomes.

  PMID 33384902 · PMC7751412 · PeerJ · 2020 · 8 claims · 8 setups

  Has reproduction · 83

  Macrel introduces a novel set of 22 peptide features (6 local, 16 global), including a new Free Energy Transition (FET) feature group, for AMP and hemolytic activity classification

  curated hemopi-1 xiao peptide random benchmark homology-aware

• Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of esophageal cancer; a novel method.

  PMID 16026601 · PMC1637030 · BMC bioinformatics · 2005 · 8 claims · 2 setups

  Full-text index only

  DF-SNPs, a novel adaptation of the Decision Forest method, can classify esophageal cancer cases vs. controls based on SNP genotype data with high concordance, sensitivity, and specificity.

  genomic snp high-throughput decision

• nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.

  PMID 15980516 · PMC1160133 · Nucleic acids research · 2005 · 6 claims · 4 setups

  Full-text index only

  nsSNPAnalyzer is a web server that predicts whether a query nsSNP is disease-associated or functionally neutral using a Random Forest classifier combining structural and evolutionary information

  curated homologous structure random structural secondary

• Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.

  PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups

  Has reproduction · 81

  A machine-learning (Random Forest) approach trained on transposon insertion features can predict gene essentiality genome-wide in yeast species

  saccharomyces schizosaccharomyces candida computational transposon random

• Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.

  PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups

  Has reproduction · 59

  Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort

  pancreatic rna-seq liver tumor bulk machine multi-label

• 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

• Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

  PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups

  Has reproduction · 85

  AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.

  gnomad alphafold2-predicted alphscore proteins machine secondary physicochemical

• A Decentralized Kidney Transplant Biopsy Classifier for Transplant Rejection Developed Using Genes of the Banff-Human Organ Transplant Panel.

  PMID 35619722 · PMC9128066 · Frontiers in immunology · 2022 · 6 claims · 6 setups

  Has reproduction · 90

  A random forest model trained solely on B-HOT panel genes (B-HOT Model) accurately classifies kidney transplant biopsies as NR, ABMR, or TCMR.

  kidney gene combined microarray machine sequential

• Application of two machine learning algorithms to genetic association studies in the presence of covariates.

  PMID 19014573 · PMC2620353 · BMC genetics · 2008 · 8 claims · 3 setups

  Full-text index only

  The relative performance of RF and MARS for detecting genotype-trait associations depends on both the strategy used to handle covariates and the true underlying model of association (e.g., confounding vs. mediation vs. interaction).

  simulated cohort simulation applied

• Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.

  PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups

  Full-text index only

  A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk

  ebv-transformed serum combined rf-filtered snp serum random

• Gut-derived Lactobacillus from exceptional responders mitigates chemoradiotherapy-induced intestinal injury through methionine-driven epigenetic modulation.

  PMID 40469520 · PMC12130557 · iMeta · 2025 · 8 claims · 8 setups

  Has reproduction · 89

  High pretreatment abundance of Lactobacillus (and Bifidobacterium) in gut microbiota correlates with absence of ACRIII in rectal cancer patients

  fecal bacterial whole-abdomen cecal metagenomic random fecal

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

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

  Full-text index only

  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

• Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics.

  PMID 35248155 · PMC8898458 · Environmental microbiome · 2022 · 7 claims · 7 setups

  Has reproduction · 83

  MAGISTA, a random forest model built on alignment-free intra-bin distance-distribution statistics, can estimate MAG completeness and purity without relying on reference marker genes.

  pooled hc227 contig sets shotgun novo alignment-free

• Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.

  PMID 40665390 · PMC12261677 · Epigenetics & chromatin · 2025 · 7 claims · 5 setups

  Has reproduction · 48

  Combining sex chromosomal DNAm markers with autosomal age-informative markers can produce a high-accuracy age prediction model competitive with autosomal-only models

  blood buffy methylation random spearman

• Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.

  PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 8 setups

  Has reproduction · 50

  A 186-gene signature predictive of nCRT response was derived from integrating six GEO transcriptomic datasets using machine learning.

  pre-treatment combined larc 186-gene differential machine molecular