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).

• Cell-Type-Specific Gene Modules Related to the Regional Homogeneity of Spontaneous Brain Activity and Their Associations With Common Brain Disorders.

  PMID 33958982 · PMC8093778 · Frontiers in neuroscience · 2021 · 8 claims · 6 setups

  Has reproduction · 59

  Fourteen gene modules were consistently (Bonferroni-corrected) associated with ReHo across a discovery sample and two independent replication samples (including one non-Chinese HCP cohort).

  healthy postmortem ahba neocortex resting-state microarray weighted

• Mutation analysis of TMC1 identifies four new mutations and suggests an additional deafness gene at loci DFNA36 and DFNB7/11.

  PMID 18616530 · PMC4732719 · Clinical genetics · 2008 · 8 claims · 8 setups

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  TMC1 mutations were identified in seven of the families/patients segregating hearing loss linked to DFNA36/DFNB7-11

  families affected tmc1 tjp2 genetic sequencing multiplex

• Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

  PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups

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  A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.

  myeloid reference selected genome-localized microarray promoter k-medoids

• Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

  PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups

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  MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.

  engineered p53 computational yeast-based regional homology

• Charting spatial ligand-target activity using Renoir.

  PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups

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  Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.

  intestine triple-negative dorsolateral dlpfc semi-synthetic spatial single-cell

• A third approach to gene prediction suggests thousands of additional human transcribed regions.

  PMID 16543943 · PMC1391917 · PLoS computational biology · 2006 · 8 claims · 7 setups

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  A third basic concept for gene prediction exists, based on detecting strand-specific 'transcription footprints' (mutational and selectional biases) rather than gene structure or sequence similarity.

  genome 4.4-mb known nucleotide repeat polyadenylation