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 · 50
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.
PMID 33662629 · PMC9801043 · Genomics, proteomics & bioinformatics · 2022 · 8 claims · 8 setups
DeeReCT-APA quantitatively predicts the usage of all competing PASs of a gene simultaneously, rather than casting the problem as pairwise comparison like prior methods.
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Has reproduction · 83
Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancer.
PMID 40472802 · PMC12171563 · EBioMedicine · 2025 · 6 claims · 7 setups
AI-derived radiological clustering identifies stage II CRC patients with significantly different survival benefit from adjuvant chemotherapy
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Discovery and identification of potential biomarkers of papillary thyroid carcinoma.
PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups
A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity
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Has reproduction · 62
scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.
PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups
scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer
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Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups
A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.
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Has reproduction
Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population.
PMID 37853325 · PMC10583454 · Genetics, selection, evolution : GSE · 2023 · 5 claims · 6 setups
SLDP selects a subset of WGS variants using GWAS prior information (P-value threshold) combined with LD pruning (r2) to improve genomic prediction accuracy.