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 · 70
Transcriptome analysis provides insights into the regulatory function of alternative splicing in antiviral immunity in grass carp (Ctenopharyngodon idella).
PMID 26248502 · PMC4528194 · Scientific reports · 2015 · 8 claims · 8 setups
AS events, including differentially-expressed-transcript-containing genes (DETs), are ubiquitous in head-kidney and spleen transcriptomes of C. idella
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Has reproduction · 50
Wx: a neural network-based feature selection algorithm for transcriptomic data.
PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups
The Wx algorithm ranks genes by a discriminative index (DI) score representing classification power for distinguishing given groups, enabling intuitive selection of optimal biomarker genes.
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Has reproduction · 50
BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization.
PMID 41266599 · PMC12635123 · Communications biology · 2025 · 8 claims · 8 setups
BiRNA-BERT uses adaptive dual-tokenization that dynamically selects nucleotide-level (NUC) or byte-pair encoding (BPE) tokens based on input sequence length
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Full-text index only
Survey of transcripts in the adult Drosophila brain.
PMID 11276425 · PMC30707 · Genome biology · 2001 · 8 claims · 4 setups
The adult Drosophila brain cDNA library contains approximately 6.75 million independent clones
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Has reproduction
DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.
PMID 41417875 · PMC12795466 · PLoS computational biology · 2025 · 7 claims · 4 setups
DAGFormer, a graph-based domain adaptation framework integrating bulk and scRNA-seq data, predicts single-cell drug responses more accurately than existing methods.
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Full-text index only
Systematic prediction of human membrane receptor interactions.
PMID 19798668 · PMC3076061 · Proteomics · 2009 · 7 claims · 6 setups
Predicting interactions specifically for membrane receptors, rather than deriving them from a general human interactome model, improves prediction performance for these proteins