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).
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Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.
PMID 41950003 · PMC13244359 · Cell reports · 2026 · 8 claims · 7 setups
Multi-omics factor analysis (MOFA) integrating seven omics views from 1,358 ROS/MAP participants identifies cross-omics biological factors relating to AD phenotypes.
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Functional genomics in postmortem human brain: abnormalities in a DISC1 molecular pathway in schizophrenia.
PMID 17117617 · PMC3181819 · Dialogues in clinical neuroscience · 2006 · 8 claims · 4 setups
DISC1 mRNA expression does not differ between schizophrenic and control postmortem brain tissue
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Unravelling Synaptic and Metabolic Mechanisms of Cognitive Resilience in Asymptomatic Alzheimer's Disease Across Two Alzheimer's Disease Cohorts.
PMID 41723778 · PMC12996523 · Cellular and molecular neurobiology · 2026 · 6 claims · 6 setups
Integrating DEG, DET, and DUT analyses (rather than DEGs alone) provides a more comprehensive view of the molecular mechanisms of AsymAD, since some genes/transcripts are only detected by transcript-level methods.
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Synaptic proteins linked to HIV-1 infection and immunoproteasome induction: proteomic analysis of human synaptosomes.
PMID 19693676 · PMC2824116 · Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2010 · 8 claims · 7 setups
Proteomic screening of human synaptosomes identifies a set of proteins differentially expressed in HIV/AIDS brain
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Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.
PMID 42045691 · PMC13175893 · Nature genetics · 2026 · 6 claims · 7 setups
INSPIRE is a deep-learning method that unifies adversarial learning with a GNN-based encoder and integrated NMF to interpretably integrate multiple spatial transcriptomics datasets
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Deep-learning prediction of gene expression from personal genomes.
PMID 41495833 · PMC12869966 · Genome biology · 2026 · 8 claims · 8 setups
Fine-tuning Enformer on paired personal WGS and RNA-seq data (Variformer) corrects Enformer's failure to predict inter-individual gene expression differences across held-out people.
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
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.
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NeMO Analytics: a compendium of transcriptomic data for the exploration of neocortical development.
PMID 41882195 · PMC13061640 · Nature neuroscience · 2026 · 8 claims · 8 setups
NeMO Analytics is a curated compendium assembling gene-level transcriptomic (and other multiomic) data from ~200 studies of neocortical development and in vitro models for interrogation by non-coding biologists