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).

• Macrophages on the run: Exercise balances macrophage polarization for improved health.

  PMID 39476967 · PMC11585839 · Molecular metabolism · 2024 · 8 claims · 7 setups

  Has reproduction · 81

  Immediate/acute exercise triggers an M1 (pro-inflammatory) macrophage polarization surge.

  gene affymetrix pooled muscle meta-analysis stepminer gene

• Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population.

  PMID 37853325 · PMC10583454 · Genetics, selection, evolution : GSE · 2023 · 5 claims · 6 setups

  Has reproduction

  SLDP selects a subset of WGS variants using GWAS prior information (P-value threshold) combined with LD pruning (r2) to improve genomic prediction accuracy.

  duroc discovery training real low-coverage genome-wide genomic

• 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

• Application of alternative de novo motif recognition models for analysis of structural heterogeneity of transcription factor binding sites: a case study of FOXA2 binding sites.

  PMID 34547062 · PMC8408018 · Vavilovskii zhurnal genetiki i selektsii · 2021 · 8 claims · 4 setups

  Has reproduction · 62

  MultiDeNA pipeline combines PWM, diPWM, BaMM and InMoDe models to train, evaluate, threshold, and classify ChIP-seq peaks for TFBS structural heterogeneity

  foxa2 genomic frequency chip-seq novo threshold

• Forseti: a mechanistic and predictive model of the splicing status of scRNA-seq reads.

  PMID 38940130 · PMC11256924 · Bioinformatics (Oxford, England) · 2024 · 7 claims · 5 setups

  Has reproduction · 87

  Forseti is the first probabilistic model for resolving the splicing status of exonic scRNA-seq reads by scoring putative fragments linking read alignments to proximate priming sites

  training simulated held-out paired-end cubic mlp

• Discovery and validation of molecular patterns and immune characteristics in the peripheral blood of ischemic stroke patients.

  PMID 38650649 · PMC11034498 · PeerJ · 2024 · 8 claims · 8 setups

  Has reproduction · 83

  188 differentially expressed genes (DEGs) between IS and control blood samples were identified and enriched in immune-related biological pathways

  blood degs peripheral hub microarray kegg cibersort

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

  Full-text index only

  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold

• JIGSAW, GeneZilla, and GlimmerHMM: puzzling out the features of human genes in the ENCODE regions.

  PMID 16925843 · PMC1810558 · Genome biology · 2006 · 8 claims · 4 setups

  Full-text index only

  Adding model states for specific biological features (signal peptides, CpG islands, etc.) to non-comparative GHMM gene finders did little or nothing to enhance predictive accuracy, sometimes reducing it.

  encode genes invertebrate initio comparative training

• Application of machine learning in SNP discovery.

  PMID 16398931 · PMC1955739 · BMC bioinformatics · 2006 · 8 claims · 6 setups

  Full-text index only

  PolyBayes produces high false-positive SNP predictions even with stringent parameters

  diverse soybean candidate same sts polybayes polyphred

• Ab initio identification of human microRNAs based on structure motifs.

  PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups

  Full-text index only

  MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence

  genome mirna hairpins chromosome secondary linear five-fold

• 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

• 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

• Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity.

  PMID 31980607 · PMC6981202 · Nature communications · 2020 · 8 claims · 8 setups

  Has reproduction · 52

  MetaMEx integrates transcriptomic data from 66 published human skeletal muscle studies (>1100 individuals) into an online meta-analysis resource (www.metamex.eu)

  skeletal pooled transcriptomic principal qpcr

• Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.

  PMID 26286638 · PMC4541321 · Scientific reports · 2015 · 6 claims · 6 setups

  Has reproduction · 76

  DRW-GM evaluates gene topological importance by directed random walk on a global gene–metabolite pathway graph integrating gene expression and metabolomic profiles to infer pathway activities

  prostate matched gse8511 gene metabolomic pathway

• Construction and Validation of an Immune Infiltration-Related Gene Signature for the Prediction of Prognosis and Therapeutic Response in Breast Cancer.

  PMID 33986754 · PMC8110914 · Frontiers in immunology · 2021 · 7 claims · 8 setups

  Has reproduction · 51

  A higher immune infiltration-related risk score (IRS) indicates worse prognosis and lower sensitivity to immunotherapy in breast cancer patients

  tcga candidate cancer univariate weighted lasso

• Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancer.

  PMID 40472802 · PMC12171563 · EBioMedicine · 2025 · 6 claims · 7 setups

  Has reproduction · 83

  AI-derived radiological clustering identifies stage II CRC patients with significantly different survival benefit from adjuvant chemotherapy

  stage patients tumour whole-tumour radiomics bulk cellular

• Identification of a novel lncRNA prognostic signature and analysis of functional lncRNA AC115619.1 in hepatocellular carcinoma.

  PMID 37614318 · PMC10442647 · Frontiers in pharmacology · 2023 · 8 claims · 8 setups

  Has reproduction · 87

  A six-lncRNA prognostic signature (LINC02428, LINC02163, AC008549.1, AC115619.1, CASC9, LINC02362) predicts overall survival in HCC patients

  hcc tcga paired snu-449 lncrna sequencing univariate

• Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

  PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups

  Has reproduction · 32

  Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)

  tcga geo rna-seq methylation sequencing

• Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.

  PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups

  Has reproduction · 78

  A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response

  colorectal matched combined expression microarray rna-seq consensus

• Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.

  PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups

  Has reproduction · 44

  DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection

  nasopharyngeal same dygaf-ranked bulk differential random