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).

• Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

  PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups

  Has reproduction · 32

  Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)

  tcga geo rna-seq methylation sequencing

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

  Full-text index only

  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.

  PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups

  Full-text index only

  A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types

  maqc hepatocytes japanese illeum microarray dasl sequence

• Combining evidence of preferential gene-tissue relationships from multiple sources.

  PMID 23950964 · PMC3741196 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 53

  A high-level integration approach combining three methods across four human microarray datasets, merged by consensus voting and a rule-based inner/total score, predicts preferentially expressed genes while reducing method- and study-specific bias.

  normal four microarray genes microarray computational bayes

• The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.

  PMID 38817614 · PMC11137207 · Frontiers in immunology · 2024 · 8 claims · 8 setups

  Has reproduction · 50

  Only two of seven published sepsis gene signatures (derived from adult/pediatric/geriatric cohorts) showed good concordance (>80% accuracy) when applied to infant sepsis, showing limited generalizability of non-infant signatures.

  blood merged deg microarray coconut pseudotime

• Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE).

  PMID 15339345 · PMC517707 · BMC bioinformatics · 2004 · 7 claims · 5 setups

  Full-text index only

  A Bayesian mixture model is proposed to account for within-class biological variability in SAGE/Digital-Northern/MPSS tag counting data.

  astrocytoma same sage classical beta-binomial

• Rbfox2 controls autoregulation in RNA-binding protein networks.

  PMID 24637117 · PMC3967051 · Genes & development · 2014 · 8 claims · 8 setups

  Has reproduction · 48

  Rbfox2 cross-regulates AS-NMD events within RNA-binding protein genes to alter their expression, tuning autoregulatory splicing networks and placing Rbfox2 at a critical node of a multilayer regulatory network.

  v6.5 fhfox2 top introns iclip sequencing rt-pcr