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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Differential expression analysis in single-cell and spatial RNA-seq without model assumptions.
PMID 41980775 · PMC13198004 · Cell reports methods · 2026 · 7 claims · 4 setups
Common DGE analysis methods (Wilcoxon test, unweighted t-test, pseudo-bulk aggregation, SCTransform-style parametrization) rely on unnecessary simplifications and assumptions that are inconsistent with experimental data and cause false findings
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VIST: variational inference for single cell time series.
PMID 41535949 · PMC12892444 · Genome biology · 2026 · 8 claims · 6 setups
VIST is a VAE-based method that decomposes single-cell gene expression into time-dependent and time-independent latent components
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Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.
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Has reproduction · 63
Extensive tissue-specific expression variation and novel regulators underlying circadian behavior.
PMID 33514540 · PMC7846174 · Science advances · 2021 · 8 claims · 8 setups
>700 tissue-specific transcriptomes generated from w1118 and 141 DGRP Drosophila lines, forming a circadian gene expression atlas
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bayesReact: expression-coupled regulatory motif analysis detects microRNA activity across cancers, tissues, and at the single-cell level.
PMID 41657247 · PMC12884093 · Nucleic acids research · 2026 · 8 claims · 6 setups
bayesReact is a novel fully Bayesian generative model for inferring regulatory motif (e.g., miRNA) activity from bulk or single-cell expression data