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).

• 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

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

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

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  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

• 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

• 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

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

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

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

  genome mirna hairpins chromosome secondary linear five-fold

• Expansion of the Bactericidal/Permeability Increasing-like (BPI-like) protein locus in cattle.

  PMID 17362520 · PMC1839098 · BMC genomics · 2007 · 8 claims · 8 setups

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  The bovine BPI-like locus spans 470 kbp and contains 14 contiguous genes (13 intact + 1 pseudogene); 9 are orthologous to human/mouse BPI-like genes and 4 (named BSP30A, BSP30B, BSP30C, BSP30D) arose through cattle-specific duplication of the PSP gene

  bovine panel agresearch intact random gene northern

• Macrel: antimicrobial peptide screening in genomes and metagenomes.

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

  Has reproduction · 83

  Macrel is an end-to-end pipeline that predicts high-quality AMP candidates from peptides, contigs, or reads of (meta)genomes

  curated hemopi-1 xiao cd-hit random amp homology-aware

• 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 Random Forest machine-learning approach can predict gene essentiality from in vivo transposon insertion data across multiple yeast species and transposon systems

  cerevisiae pombe albicans hermes acds piggybac

• Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.

  PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 7 setups

  Has reproduction · 72

  edgeR identifies 9 DEGs associated with pCR and 13 DEGs associated with relapse from 579 immune genes in a small TNBC sample set (n=55)

  ffpe same nanostring training nanostring immunohistochemistry differential

• Complete genome sequence and comparative analysis of the wild-type commensal Escherichia coli strain SE11 isolated from a healthy adult.

  PMID 18931093 · PMC2608844 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2008 · 8 claims · 6 setups

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  The SE11 genome comprises a 4.8 Mb chromosome encoding 4679 protein-coding genes and six plasmids encoding 323 protein-coding genes

  coli se11 rapd whole-genome gene

• Towards alignment independent quantitative assessment of homology detection.

  PMID 17205117 · PMC1762415 · PloS one · 2006 · 8 claims · 6 setups

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  The Fhom Estimator uses the prevalence of a conserved protein feature (X) in two protein sets to estimate the fraction of true homologs among paired proteins, independent of alignment quality.

  curated homologene swiss-prot fruit signalp homologene-based fhom

• Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

  PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups

  Has reproduction · 96

  Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.

  peripheral pbmc datasets hg-u133 gene bulk machine

• 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

• GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.

  PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups

  Has reproduction · 78

  GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.

  clinical tuberculosis registered whole-genome targeted retraining

• N-acetyltransferase 8, a positional candidate for blood pressure and renal regulation: resequencing, association and in silico study.

  PMID 18402670 · PMC2330028 · BMC medical genetics · 2008 · 7 claims · 6 setups

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  NAT8 is a novel positional candidate gene for blood pressure and renal function based on its chromosomal location within a BP linkage region and its expression in embryonic/adult kidney and liver

  random reference healthy long-term resequencing quantitative sequence

• Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.

  PMID 17124346 · PMC3862287 · Disease markers · 2006 · 8 claims · 5 setups

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  SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers

  serum seldi seldi-tof serum univariate

• Comprehensive benchmarking of large language models for RNA secondary structure prediction.

  PMID 40205851 · PMC11982019 · Briefings in bioinformatics · 2025 · 7 claims · 4 setups

  Has reproduction · 88

  Existing RNA-LLMs had not previously been evaluated for secondary structure prediction in a unified, fair experimental setup with the same datasets and prediction model.

  archiveii bprna large-scale secondary cross-family self-supervised

• SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.

  PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups

  Has reproduction · 81

  SEMdag() is a two-step order-based algorithm for fast learning of high-dimensional linear SEMs, using knowledge-based (KB) or data-driven bottom-up (BU) node/layer ordering followed by penalized (L1) DAG estimation

  amyotrophic breast coronavirus st-elevation rna-seq comparative

• A third approach to gene prediction suggests thousands of additional human transcribed regions.

  PMID 16543943 · PMC1391917 · PLoS computational biology · 2006 · 8 claims · 7 setups

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  A third basic concept for gene prediction exists, based on detecting strand-specific 'transcription footprints' (mutational and selectional biases) rather than gene structure or sequence similarity.

  genome 4.4-mb known nucleotide repeat polyadenylation

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval