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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Linking disease-associated genes to regulatory networks via promoter organization.
PMID 15701758 · PMC549397 · Nucleic acids research · 2005 · 8 claims · 7 setups
Pairs of TFBSs conserved both vertically (orthologous genes) and horizontally (co-regulated genes) can serve as seeds to build promoter models representing potential co-regulation networks
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Has reproduction · 68
Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing.
PMID 31443728 · PMC6708158 · Genome medicine · 2019 · 8 claims · 6 setups
The proportion of variance in chronological age explained by all DNA methylation probes is close to 1, so a near-perfect age predictor is in principle achievable with sufficient training data.
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Has reproduction · 85
NETISCE: a network-based tool for cell fate reprogramming.
PMID 35725577 · PMC9209484 · NPJ systems biology and applications · 2022 · 8 claims · 4 setups
NETISCE predicts cell fate reprogramming targets in static (GRN/signaling) networks without needing full kinetic parameterization of a dynamical model.
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Steps toward broad-spectrum therapeutics: discovering virulence-associated genes present in diverse human pathogens.
PMID 19874620 · PMC2774872 · BMC genomics · 2009 · 8 claims · 8 setups
Phylogenetic profiling of protein clusters across pathogen and non-pathogen genomes can identify candidate generic virulence factors
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Proteomic and genetic approaches identify Syk as an AML target.
PMID 19800574 · PMC2803063 · Cancer cell · 2009 · 8 claims · 8 setups
EGFR inhibitors (e.g., gefitinib) induce AML differentiation through a non-EGFR, off-target mechanism
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In silico segmentations of lentivirus envelope sequences.
PMID 17376229 · PMC1847453 · BMC bioinformatics · 2007 · 8 claims · 8 setups
C and V regions of lentivirus SU sequences have distinct statistical (oligonucleotide/amino-acid) compositions that HMMs can learn and use to delimit them.