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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STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data.
PMID 42044152 · PMC13160441 · PLoS computational biology · 2026 · 8 claims · 8 setups
STARCall combines image stitching and cross-cycle alignment into a single joint optimization step (via ConStitch) that minimizes both inter-cycle and intra-cycle alignment error.
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Has reproduction
Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.
PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups
The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells
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Has reproduction · 67
The TREM2-APOE Pathway Drives the Transcriptional Phenotype of Dysfunctional Microglia in Neurodegenerative Diseases.
PMID 28930663 · PMC5719893 · Immunity · 2017 · 8 claims · 8 setups
A common APOE-dependent microglial molecular signature (MGnD) — loss of homeostatic genes plus induction of inflammatory genes with Apoe among the most upregulated — occurs in ALS, MS and AD mouse models and around neuritic Aβ-plaques in human AD brain.
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Expression profiling of drug response--from genes to pathways.
PMID 17117610 · PMC3181826 · Dialogues in clinical neuroscience · 2006 · 8 claims · 8 setups
Understanding individual response to a drug (efficacy/tolerability) is the major bottleneck in current drug development and clinical trials.
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Defining the proteome.
PMID 16356278 · PMC1414090 · Genome biology · 2005 · 8 claims · 8 setups
Integration of multi-omics data is an important step toward a systems-biology approach to the proteome