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).
-
Has reproduction · 95
Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.
PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups
Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.
-
Full-text index only
Structural organization and interactions of transmembrane domains in tetraspanin proteins.
PMID 15985154 · PMC1190194 · BMC structural biology · 2005 · 8 claims · 5 setups
TM1, TM2 and TM3 of human tetraspanins display a distinct heptad repeat motif (abcdefg)n, while TM4 lacks this motif.
-
Has reproduction · 59
Comparing time series transcriptome data between plants using a network module finding algorithm.
PMID 31164912 · PMC6544932 · Plant methods · 2019 · 8 claims · 6 setups
Converting time-series expression data into co-expression networks and applying network module finding (OrthoClust) enables cross-species comparison without requiring one-to-one developmental stage mapping.
-
Full-text index only
A space-efficient and accurate method for mapping and aligning cDNA sequences onto genomic sequence.
PMID 18344523 · PMC2377433 · Nucleic acids research · 2008 · 7 claims · 6 setups
Spaln maps and aligns large cDNA sequence sets onto whole mammalian genomes using substantially less memory than comparable existing tools
-
Full-text index only
A third approach to gene prediction suggests thousands of additional human transcribed regions.
PMID 16543943 · PMC1391917 · PLoS computational biology · 2006 · 8 claims · 7 setups
A third basic concept for gene prediction exists, based on detecting strand-specific 'transcription footprints' (mutational and selectional biases) rather than gene structure or sequence similarity.
-
Full-text index only
Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.