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).
-
Has reproduction · 61
Does excitatory fronto-extracerebral tDCS lead to improved working memory performance?
PMID 24555105 · PMC3869492 · F1000Research · 2013 · 8 claims · 4 setups
Active anodal left DLPFC tDCS with a contralateral cheek reference did not significantly enhance 3-back working memory performance over sham across the two-day experiment (no main effect of group, no group x time interaction).
-
Full-text index only
S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
-
Full-text index only
Variants in the estrogen receptor alpha gene and its mRNA contribute to risk for schizophrenia.
PMID 18424448 · PMC2465798 · Human molecular genetics · 2008 · 8 claims · 8 setups
Genotype CC (rs2234693/PvuII) and C-allele-containing haplotypes in ESR1 intron 1 are more frequent in African American schizophrenics than controls
-
Full-text index only
Association of the SerCys DISC1 polymorphism with human hippocampal formation gray matter and function during memory encoding.
PMID 19046394 · PMC2865560 · The European journal of neuroscience · 2008 · 8 claims · 5 setups
Individuals homozygous for the DISC1 Ser allele show greater HF (parahippocampal) gray matter volume than Cys allele carriers
-
Full-text index only
Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning.
PMID 41588477 · PMC12833949 · Genome medicine · 2026 · 8 claims · 4 setups
scMDCF outperforms existing state-of-the-art scMulti-omics integration and clustering models across various types of scMulti-omics datasets, including robustness against batch effects