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).

• AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression.

  PMID 27082953 · PMC4833304 · PLoS computational biology · 2016 · 7 claims · 6 setups

  Has reproduction · 88

  Sample-sample correlation of transcript abundances is a misleading measure of replicability for assessing differential expression, because it is dominated by gene-specific dynamic ranges rather than condition-dependent variation.

  liver encode publicly co-expressed rna-seq meta-analysis computational

• Visualization of three-way comparisons of omics data.

  PMID 17335588 · PMC1831488 · BMC bioinformatics · 2007 · 7 claims · 3 setups

  Full-text index only

  A novel HSB (hue, saturation, brightness) color-coding scheme can represent three-way comparisons of corresponding datapoints from three datasets.

  liver replicate ce-tofms one-way electropherogram

• 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

• 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