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).

• VIRGO: computational prediction of gene functions.

  PMID 16845022 · PMC1538839 · Nucleic acids research · 2006 · 8 claims · 6 setups

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  VIRGO constructs a functional linkage network (FLN) from gene expression and molecular interaction data, labels genes with GO annotations, and propagates these labels to predict functions of unlabelled genes

  cerevisiae sapiens leave-one-out gene protein-protein

• Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

  PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups

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  Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.

  saccharomyces guilt-by-association comparison network-guided

• Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era.

  PMID 34310590 · PMC8354454 · PLoS computational biology · 2021 · 7 claims · 6 setups

  Has reproduction · 98

  Updated synthetic contact matrices were generated for 177 geographical locations covering 97.2% of the world's population (up from 152 locations/95.9% in 2017).

  polymod geographical dhs locations bayesian synthetic household

• HapMap-based study of the 17q21 ERBB2 amplicon in susceptibility to breast cancer.

  PMID 17117180 · PMC2360759 · British journal of cancer · 2006 · 6 claims · 5 setups

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  Common genetic variation (tSNPs and haplotypes) across the 400-kb 17q21 ERBB2 amplicon is not associated with breast cancer risk in British women.

  white same hapmap snp haplotype tagging

• Mining expressed sequence tags identifies cancer markers of clinical interest.

  PMID 17078886 · PMC1635568 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  An EST-mining approach (Fisher Exact Test on tumor vs. non-tumor library hit counts) identifies differentially expressed transcripts with an estimated false discovery rate below 22% when human and mouse screens are combined.

  dbest cancer gene est human-mouse leave-one-out

• 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

• Bayesian prediction of microbial oxygen requirement.

  PMID 26913185 · PMC4743139 · F1000Research · 2013 · 7 claims · 8 setups

  Has reproduction · 76

  A naive Bayesian classifier based on presence/absence of class-associated Pfam-A domains can distinguish three oxygen requirement classes (aerobe, anaerobe, facultative anaerobe) from genome sequence, unlike prior studies that only made pairwise distinctions.

  bacterial selected predicted pfam-a genome gene domain

• An SVM-based system for predicting protein subnuclear localizations.

  PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  New kernels defined on k-peptide vectors mapped by BLOSUM62-based high-scored pair matrices (D1, D2, D3) improve SVM discrimination of protein subnuclear localization compared to conventional k-peptide encodings.

  single-localization multi-localization same svm sequence

• High performance imputation of structural and single nucleotide variants using low-coverage whole genome sequencing.

  PMID 40155798 · PMC11951665 · Genetics, selection, evolution : GSE · 2025 · 7 claims · 6 setups

  Has reproduction · 85

  SNVs are imputed with high accuracy and recall across all tested WGS depths (1-4x), including in samples external to the reference panel.

  atlantic low-coverage genotyping genome