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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Full-text index only
Protein ranking by semi-supervised network propagation.
PMID 16723003 · PMC1810311 · BMC bioinformatics · 2006 · 8 claims · 5 setups
RankProp, a diffusion-based network propagation algorithm on a PSI-BLAST-derived protein similarity network, significantly outperforms local search methods (BLAST/PSI-BLAST) at detecting remote homologs.
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Full-text index only
Optimized mixed Markov models for motif identification.
PMID 16749929 · PMC1534070 · BMC bioinformatics · 2006 · 8 claims · 4 setups
OMiMa can incorporate more than NNSplice's pairwise dependencies
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Full-text index only
Using several pair-wise informant sequences for de novo prediction of alternatively spliced transcripts.
PMID 16925842 · PMC1810557 · Genome biology · 2006 · 8 claims · 4 setups
MARS, an extension of the Twinscan algorithm, uses multiple pairwise informant genomes to predict human alternatively spliced transcripts de novo without expressed sequence information.
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Has reproduction · 83
Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics.
PMID 35248155 · PMC8898458 · Environmental microbiome · 2022 · 7 claims · 7 setups
MAGISTA, a random forest model built on alignment-free intra-bin distance-distribution statistics, can estimate MAG completeness and purity without relying on reference marker genes.
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Has reproduction · 87
Enhanced Generalizability of RNA Secondary Structure Prediction via Convolutional Block Attention Network and Ensemble Learning.
PMID 40871599 · PMC12388828 · Molecules (Basel, Switzerland) · 2025 · 8 claims · 8 setups
TrioFold integrates base-pairing clues from thermodynamic- and DL-based methods via ensemble learning and a convolutional block attention mechanism to enhance RSS prediction generalizability.