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).

• Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis.

  PMID 17518996 · PMC1892811 · BMC bioinformatics · 2007 · 7 claims · 4 setups

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  The IAB algorithm (integration of ANN and BLAST) identifies genome-wide specific oligos much faster than pure BLAST search while maintaining comparable success rate and cross homology

  tigr xanthomonas xcc ann wu-blast whole-genome

• Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.

  PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups

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  ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.

  blood baseline-corrected 953-dimensional training seldi-tof wavelet ant

• SNiPer: improved SNP genotype calling for Affymetrix 10K GeneChip microarray data.

  PMID 16262895 · PMC1280925 · BMC genomics · 2005 · 8 claims · 5 setups

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  Poorly performing SNPs (NoCall rate ≥25%) fail primarily due to inadequate training/localization of the MPAM statistical model call zone, not detection filter failure

  genomic genotype genotyped chromosomal snp clustering mendelian

• 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

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  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

• 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

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate

• Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.

  PMID 39856156 · PMC11760357 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 83

  Ten multiomics clustering algorithms identify two distinct lactylation cancer subtypes (CS1 and CS2) in LUAD

  tcga gse13213 gse31210 multiomics closest ssgsea

• Enhanced Generalizability of RNA Secondary Structure Prediction via Convolutional Block Attention Network and Ensemble Learning.

  PMID 40871599 · PMC12388828 · Molecules (Basel, Switzerland) · 2025 · 8 claims · 8 setups

  Has reproduction · 87

  TrioFold integrates base-pairing clues from thermodynamic- and DL-based methods via ensemble learning and a convolutional block attention mechanism to enhance RSS prediction generalizability.

  testseta bprna-new ts-inter individual jaccard pca ensemble

• Tracing human genetic histories and natural selection with precise local ancestry inference.

  PMID 40379651 · PMC12084304 · Nature communications · 2025 · 7 claims · 7 setups

  Has reproduction · 76

  Orchestra, a two-stage LAI method combining a recombination-distance base layer with a deep learning (convolutional + attention) smoothing module, outperforms RFmix, FLARE and Gnomix in precision and recall across simulated admixture generations.

  1kgp-16pops independent simulated 1kgp simulated population-level local

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk