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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Has reproduction · 67
Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data.
PMID 37994351 · PMC10663991 · F1000Research · 2023 · 7 claims · 7 setups
A reproducible R-based workflow combines Seurat (QC, clustering, integration), monocle3 (trajectory inference), and edgeR (pseudo-bulk time course analysis) to perform single-cell pseudotemporal time course analysis.
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Has reproduction · 33
To Explore the Key Subgroup and Their Immune Microenvironment During the Formation of Coronary Plaque With scRNA-seq.
PMID 40454289 · PMC12126265 · Cardiology research and practice · 2025 · 6 claims · 8 setups
C1 RACK1+ NK cells are a crucial subgroup for understanding coronary plaque formation, exhibiting the highest cell stemness/differentiation potential and positioned at the start of the pseudotime trajectory
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Has reproduction · 61
lncEvo: automated identification and conservation study of long noncoding RNAs.
PMID 33563213 · PMC7871587 · BMC bioinformatics · 2021 · 8 claims · 5 setups
lncEvo is an integrated Nextflow/Docker pipeline combining transcriptome assembly, lncRNA identification, and cross-species conservation analysis into a single workflow.
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Full-text index only
Development of proteomic patterns for detecting lung cancer.
PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups
A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls
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Full-text index only
Combinatorial Mismatch Scan (CMS) for loci associated with dementia in the Amish.
PMID 16515697 · PMC1448207 · BMC medical genetics · 2006 · 8 claims · 7 setups
CMS compares IBS allele/genotype sharing between distantly related (beyond grandparental) affected and unaffected individuals from founder populations to detect disease loci while reducing confounding from population stratification and genetic heterogeneity.