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).

• Non-linear mapping for exploratory data analysis in functional genomics.

  PMID 15661072 · PMC548129 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A relaxation method for non-linear mapping adapts one pair of points per step rather than all points at once, and was originally shown by Chang and Lee to outperform Sammon's mapping in cluster detection effectiveness and computational efficiency.

  leukaemia small srbct brain relaxation self-organising sammon's

• Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework.

  PMID 41925147 · PMC13051084 · Science progress · 2026 · 8 claims · 1 setups

  Has reproduction · 22

  MICRO-AI's attention-weighted feature fusion reduces dimensionality by over 99% (from ~20,000 to ~127 genes) without loss of biological significance

  breast microarray

• Short tandem repeats in human exons: a target for disease mutations.

  PMID 18789129 · PMC2543027 · BMC genomics · 2008 · 8 claims · 6 setups

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  STRs are present in exons of 92% of known human genes, unlike longer tandem repeats which are rare in exons

  reference genome genes genome-wide indel disease

• SNPs in cancer research and treatment.

  PMID 14970847 · PMC2410167 · British journal of cancer · 2004 · 8 claims · 8 setups

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  SNPs and haplotype-tagging SNPs (ht-SNPs) provide a resource for investigating genetic contributions to cancer susceptibility and outcome while reducing genotyping burden versus testing every SNP

  lung bladder colon prostate candidate snp-based haplotype

• Towards precise classification of cancers based on robust gene functional expression profiles.

  PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups

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  Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets

  nci60 lymphoma fep go-annotated cdna recursive hypergeometric