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).

• A modified T-test feature selection method and its application on the HapMap genotype data.

  PMID 18267305 · PMC5054219 · Genomics, proteomics & bioinformatics · 2007 · 7 claims · 4 setups

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  A modified t-test ranking measure, extended to handle nominal SNP genotype data via vector transformation, can effectively rank SNPs by their discriminative capability for population classification.

  hapmap modified f-statistics informativeness

• 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

• 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

• Next-generation high-density self-assembling functional protein arrays.

  PMID 18469824 · PMC3070491 · Nature methods · 2008 · 8 claims · 7 setups

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  A next-generation NAPPA method produces high-density protein microarrays displaying over 1500 unique proteins with >90% expression success

  test high-density amine-coated array picogreen anti-gst fluorescently

• Workflow sharing with automated metadata validation and test execution to improve the reusability of published workflows.

  PMID 36810800 · PMC9944229 · GigaScience · 2022 · 8 claims · 5 setups

  Has reproduction · 50

  Yevis is a system that builds a workflow registry which automatically validates and tests workflows prior to publication, ensuring they are 'reusable with confidence'.

  github submitter's zenodo yevis-based workflow file trs

• Fast-evolving noncoding sequences in the human genome.

  PMID 17578567 · PMC2394770 · Genome biology · 2007 · 8 claims · 6 setups

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  1,356 conserved noncoding sequences show human-specific accelerated substitution rates (ANC sequences) relative to chimpanzee

  chimpanzee genome hapmap comparative genomic segmental

• Supervised learning-based tagSNP selection for genome-wide disease classifications.

  PMID 18366619 · PMC2386071 · BMC genomics · 2008 · 7 claims · 2 setups

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  SRFA (Supervised Recursive Feature Addition) is a novel feature selection method combining supervised learning and statistical redundancy measures for SNP selection

  micc narac snp

• Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.

  PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups

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  A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.

  pre-mirnas test conserved-hairpin cross-species secondary svm cross-species

• Application of machine learning in SNP discovery.

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

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

  diverse soybean candidate same sts polybayes polyphred

• Optimality driven nearest centroid classification from genomic data.

  PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups

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  A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).

  artificial simulated previously-published simulated simulation clinical

• Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.

  PMID 19761607 · PMC2759961 · BMC bioinformatics · 2009 · 8 claims · 5 setups

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  2LOmb performs an omnibus permutation test on ensembles of two-locus analyses via a four-step algorithm (two-locus analysis, permutation test, global p-value determination, progressive ensemble search)

  simulated same snp type two-locus 2lomb benchmark

• Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.

  PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups

  Has reproduction · 86

  A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.

  known tnbc unique unknown gene machine term

• Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.

  PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 48

  A hybrid signature combining the Nottingham Prognostic Index with SIS-selected gene expressions can be built in a data-driven fashion (NPI treated as a gene expression during feature selection).

  metabric scan-b gene rna-seq feature

• Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.

  PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 3 setups

  Has reproduction · 89

  Graph Random Forest (GRF) embeds graph/network information directly into the decision-tree building process by splitting on features in the k-hop neighborhood of a data-driven head-splitting node.

  scale-free non-small embryonic simulation rna-seq

• Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets.

  PMID 35901020 · PMC9333302 · PloS one · 2022 · 7 claims · 3 setups

  Has reproduction · 83

  A Reproducibility Score, RS(D,BD), defined as the average Jaccard overlap between biomarker sets found by the same discovery process on comparable datasets from the same distribution, quantifies biomarker reproducibility on a 0-1 scale

  breast tcga-brca snp gene mrnaseq snp

• Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.

  PMID 26538066 · PMC4634735 · BMC medical genomics · 2015 · 8 claims · 5 setups

  Has reproduction · 83

  A multigene peripheral-blood gene-expression biomarker accurately classifies which women from high-risk families develop familial breast cancer.

  peripheral pbmcs blood normal gene-expression lymphocyte gene

• MACSIMS: multiple alignment of complete sequences information management system.

  PMID 16792820 · PMC1539025 · BMC bioinformatics · 2006 · 8 claims · 5 setups

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  MACSIMS is a multiple alignment-based information management system combining knowledge-based database mining with ab initio sequence predictions

  balibase-derived sequences same query automatic database initio

• Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information.

  PMID 18588693 · PMC2446391 · BMC bioinformatics · 2008 · 8 claims · 5 setups

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  A decision tree built on 10 selected sequence-derived features classifies SAPs as Disease or Polymorphism with 82.6% accuracy and 0.607 MCC in cross-validation.

  sap sequence-derived humvar same decision independent greedy

• 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

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term