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).

• Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.

  PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups

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  The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues

  benchmarking same pirsf pdb supervised wrapper sequence

• Genomic data sampling and its effect on classification performance assessment.

  PMID 12553886 · PMC149349 · BMC bioinformatics · 2003 · 8 claims · 3 setups

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  Cross-validation, leave-one-out, and bootstrap are designed to reduce bias and variance in accuracy estimation from small samples.

  leukemia srbct splice-junction supervised

• 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

• Automatic discovery of cross-family sequence features associated with protein function.

  PMID 16409628 · PMC1395344 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  A self-supervised data mining approach can find relationships between sequence features and functional annotations without preconceived functional categories.

  non-redundant same evolved eukaryotic self-supervised experiment self-organizing

• Information-theoretic identification of predictive SNPs and supervised visualization of genome-wide association studies.

  PMID 16899448 · PMC1557808 · Nucleic acids research · 2006 · 7 claims · 4 setups

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  3D VizStruct (DFT-based radial mapping + KLD as z-axis) can identify SNPs/polymorphic markers that are predictive of underlying biological class distinctions across diverse datasets

  lpl y-chromosome coral simulated snp aflp numerical

• 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

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  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

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• SePaCS--a web-based application for classification of seroreactivity profiles.

  PMID 17478503 · PMC1933220 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  SePaCS is a freely available web-based tool that trains and applies multiple classification methods (4 Naive Bayes variants, SVM with RBF kernel, LDA, DLDA) to seroreactivity profiles and outputs results as a summary table plus a detailed PDF report

  blood computational seroreactivity supervised mutual

• CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.

  PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups

  Has reproduction · 87

  CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.

  breast ovarian simulated gene semi-supervised novo

• Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

  PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups

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  An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions

  serum computational kda spin-column seldi-tof supervised peptide

• Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.

  PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups

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  Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments

  zebrafish computational seven consolidated whole-adult-organism supervised quantitative

• Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.

  PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups

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  Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity

  breast early-stage diffuse dlbcl gene

• Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.

  PMID 37218167 · PMC10208159 · Epigenetics · 2023 · 8 claims · 7 setups

  Has reproduction · 73

  Probe-specific upper and lower thresholds for flagging aberrant DNA methylation can be derived from a reference database of >2,000 normal and tumour-adjacent normal samples spanning 25 tissue types.

  blood tcga gse40279 most illumina supervised unsupervised

• A DNA microarray survey of gene expression in normal human tissues.

  PMID 15774023 · PMC1088941 · Genome biology · 2005 · 6 claims · 6 setups

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  Unsupervised hierarchical clustering of gene expression groups normal tissue samples largely according to anatomic location, cellular composition, or physiologic function.

  normal common computational each two-color comparative unsupervised

• Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1.

  PMID 18992264 · PMC2682550 · Mutation research · 2009 · 8 claims · 8 setups

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  A combined functional assay, bioinformatics prediction, and structural modeling approach can classify BRCA1 variants of uncertain significance

  saccharomyces cerevisiae hek-293t yeast yeast β-galactosidase dual

• Bayesian survival analysis in genetic association studies.

  PMID 18617538 · PMC2530885 · Bioinformatics (Oxford, England) · 2008 · 7 claims · 5 setups

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  A novel Bayesian method (BETA-Surv) extends prior case-control haplotype-clustering work to censored survival outcomes by clustering haplotypes via gene tree/perfect phylogeny topology and relative mutation age.

  simulated same sanad bayesian univariate partial

• Integrative genomics analysis of chromosome 5p gain in cervical cancer reveals target over-expressed genes, including Drosha.

  PMID 18559093 · PMC2440550 · Molecular cancer · 2008 · 7 claims · 6 setups

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  Gain of chromosome 5p is the most frequent genomic alteration in invasive cervical cancer

  cervical tumors pap tumor snp fluorescence fish

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

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

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  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

• Glioblastoma subclasses can be defined by activity among signal transduction pathways and associated genomic alterations.

  PMID 19915670 · PMC2771920 · PloS one · 2009 · 8 claims · 6 setups

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  Proteomic analysis of glioma samples reveals three signaling subclasses of GBM associated with predominant EGFR activation, PDGFR activation, or loss of NF1

  surgical standardized glioma gbm western principal k-means

• Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.

  PMID 19903332 · PMC3091321 · Genome biology · 2009 · 6 claims · 5 setups

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  A candidate 37-transcript diagnostic signature distinguishes septicemic melioidosis from sepsis caused by other organisms with 100% accuracy in the training set and 78%/80% accuracy in two independent validation sets

  blood whole-genome unsupervised class