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).

• MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.

  PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs

  real combined pre-mirna training random independent repeated

• GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.

  PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups

  Has reproduction · 78

  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.

  clinical tuberculosis registered whole-genome targeted retraining

• Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.

  PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups

  Has reproduction · 59

  Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort

  pancreatic rna-seq liver tumor bulk machine multi-label

• Unlocking the microbial studies through computational approaches: how far have we reached?

  PMID 36920617 · PMC10016191 · Environmental science and pollution research international · 2023 · 8 claims · 8 setups

  Has reproduction

  Metagenomics enables culture-independent study of microbial communities directly from their natural environments, bypassing the need for clonal isolation.

  clinical bacteriophage vaginal hbv ngs random whole-genome

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

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  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• An accurate method for identifying recent recombinants from unaligned sequences.

  PMID 35025988 · PMC8963311 · Bioinformatics (Oxford, England) · 2022 · 8 claims · 4 setups

  Has reproduction · 84

  A novel algorithm combining the JHMM (Zilversmit et al. 2013) mosaic representation with a distance-based triple comparison can identify recombinant sequences and their parents from unaligned, gene-length sequences without a reference panel.

  simulated dblα coalescent comparative recombinant

• Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.

  PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups

  Has reproduction · 78

  A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response

  colorectal matched combined expression microarray rna-seq consensus

• Evolutionary distance estimation and fidelity of pair wise sequence alignment.

  PMID 15840174 · PMC1087827 · BMC bioinformatics · 2005 · 8 claims · 8 setups

  Full-text index only

  Evolutionary distance estimation is relatively unaffected by alignment error as long as 50% or more of homologous sites remain identical between sequences

  simulated simulated sequence indel

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

  Full-text index only

  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• Using ESTs to improve the accuracy of de novo gene prediction.

  PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups

  Full-text index only

  TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome

  elegans genome chromosome novo gene partial

• Ab initio identification of human microRNAs based on structure motifs.

  PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups

  Full-text index only

  MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence

  genome mirna hairpins chromosome secondary linear five-fold

• BFAST: an alignment tool for large scale genome resequencing.

  PMID 19907642 · PMC2770639 · PloS one · 2009 · 7 claims · 4 setups

  Full-text index only

  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

  reference genome simulated real-world k-mer

• Construction and use of spotted large-insert clone DNA microarrays for the detection of genomic copy number changes.

  PMID 17406619 · PMC2688820 · Nature protocols · 2007 · 8 claims · 7 setups

  Full-text index only

  Combining three human-optimized DOP-PCR primers before a secondary amino-labeled PCR increases array hybridization sensitivity and reproducibility sixfold compared to the standard 6MW DOP-PCR primer

  large-insert patients test genomic array-cgh manual automated

• Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment.

  PMID 37471455 · PMC10393163 · PLoS computational biology · 2023 · 8 claims · 8 setups

  Has reproduction · 100

  A network-based meta-analysis across studies identifies a common 45-gene signature specific to active TB disease that accounts for cohort/population heterogeneity

  n×m common independent viral blood gene random

• Tri-nucleotide threading for parallel amplification of minute amounts of genomic DNA.

  PMID 16582098 · PMC1421508 · Nucleic acids research · 2006 · 6 claims · 5 setups

  Full-text index only

  TnT enables parallel amplification of 75 SNPs from sub-nanogram amounts of genomic DNA

  genomic dbsnp tnt duplex bioinformatic

• Operon information improves gene expression estimation for cDNA microarrays.

  PMID 16630355 · PMC1513396 · BMC genomics · 2006 · 7 claims · 3 setups

  Full-text index only

  A hierarchical Bayesian model that borrows expression information from other genes within the same operon improves estimation of relative transcript levels.

  simulated coli simulated cdna two-color

• CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes.

  PMID 19854943 · PMC2800233 · Nucleic acids research · 2010 · 8 claims · 6 setups

  Full-text index only

  Functional ('bona fide') CGIs show distinct average/cumulative mutual information (AMI/CMI) distributions of neighboring CpG distances compared to non-functional CGIs and random genome segments

  genome random cd4+ six average mutual chip-seq

• Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.

  PMID 15207009 · PMC449699 · BMC bioinformatics · 2004 · 8 claims · 8 setups

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  New classifiers (SVMs, ensembles) and new wavelet-derived (Gabor, Daubechies) features improve recognition of protein subcellular location patterns over the previous neural network approach

  hela automated stepwise training-set-size

• Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.

  PMID 17124346 · PMC3862287 · Disease markers · 2006 · 8 claims · 5 setups

  Full-text index only

  SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers

  serum seldi seldi-tof serum univariate

• Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network.

  PMID 19728866 · PMC2768980 · Genome biology · 2009 · 6 claims · 6 setups

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  Integrating 16 genomic features (32 sub-features) via a naïve Bayes classifier produces a genome-scale FLN of 21,657 human genes and 22,388,609 weighted links that outperforms any individual data source for inferring functional linkages.

  genome gene omim known naïve linkage disease-centric