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).

• 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

• Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.

  PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups

  Full-text index only

  An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes

  genome training svm support leave-one-out sensitivity

• Development of animal models to test the fundamental basis of gene-environment interactions.

  PMID 19037209 · PMC2703424 · Obesity (Silver Spring, Md.) · 2008 · 8 claims · 8 setups

  Full-text index only

  Selective breeding for low and high intrinsic aerobic treadmill running capacity produced divergent rat lines (LCR and HCR) that contrast in propensity for complex disease

  nih-derived lcr carotid treadmill body maximal

• 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

• 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

• Speeding disease gene discovery by sequence based candidate prioritization.

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

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  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

• SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.

  PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups

  Has reproduction · 74

  SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.

  pairs nanostring st-sc osmfish_zeisel st-sc 5-fold spatially

• In silico segmentations of lentivirus envelope sequences.

  PMID 17376229 · PMC1847453 · BMC bioinformatics · 2007 · 8 claims · 8 setups

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  C and V regions of lentivirus SU sequences have distinct statistical (oligonucleotide/amino-acid) compositions that HMMs can learn and use to delimit them.

  eiav hiv hmm-based hmm artificial

• Machine-learning approaches for classifying haplogroup from Y chromosome STR data.

  PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups

  Full-text index only

  Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information

  globally same computational publicly y-str snp supervised