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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Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.
PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups
A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk
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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 · 67
A consensus approach to vertebrate de novo transcriptome assembly from RNA-seq data: assembly of the duck (Anas platyrhynchos) transcriptome.
PMID 25009556 · PMC4070175 · Frontiers in genetics · 2014 · 8 claims · 8 setups
Multiple k-mer (MK) assemblies are more complete than single k-mer (SK) assemblies, showing higher reads-mapped-back-to-transcripts (RMBT) and higher CEGMA complete-gene percentages for all three tools.
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Has reproduction · 83
Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.
PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups
CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile
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Has reproduction · 78
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups
GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.
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Has reproduction · 73
Genetic polyploid phasing from low-depth progeny samples.
PMID 35692633 · PMC9184567 · iScience · 2022 · 8 claims · 7 setups
WH-PPG phases polyploid parental samples by scoring informative variant pairs with a Bayesian log-likelihood model of progeny allele depths, clustering alleles by co-occurrence likelihood, and assigning clusters to haplotypes via interval scheduling
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Has reproduction · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class machine learning models built from cross-platform microarray meta-analysis can distinguish bacterial, viral and no-infection states with high accuracy (best model: 93% bacterial, 89% viral correct).
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Has reproduction · 67
Optimal scaling of digital transcriptomes.
PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups
Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.
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BFAST: an alignment tool for large scale genome resequencing.
PMID 19907642 · PMC2770639 · PloS one · 2009 · 7 claims · 4 setups
BFAST is a new algorithm and freely available software tool for aligning large-scale short-read sequencing data to large reference genomes with user-customizable speed and accuracy
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Has reproduction · 75
Sequencing of human genomes with nanopore technology.
PMID 31015479 · PMC6478738 · Nature communications · 2019 · 8 claims · 7 setups
A novel single-sample, reference panel-free, read-based phasing algorithm built on the STITCH model improves nanopore SNV calling from modest baseline levels.