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).

• An SVM-based system for predicting protein subnuclear localizations.

  PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  New kernels defined on k-peptide vectors mapped by BLOSUM62-based high-scored pair matrices (D1, D2, D3) improve SVM discrimination of protein subnuclear localization compared to conventional k-peptide encodings.

  single-localization multi-localization same svm sequence

• Novel heteroduplex method using small cytology specimens with a remarkably high success rate for analysing EGFR gene mutations with a significant correlation to gefitinib efficacy in non-small-cell lung cancer.

  PMID 17047654 · PMC2360725 · British journal of cancer · 2006 · 7 claims · 5 setups

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  LH-MSA enables EGFR mutation analysis using small numbers of cancer cells from cytology specimens with a remarkably high success rate

  cytology excised nsclc gefitinib-treated lh-mobility pcr clinical

• Bayesian prediction of microbial oxygen requirement.

  PMID 26913185 · PMC4743139 · F1000Research · 2013 · 7 claims · 8 setups

  Has reproduction · 76

  A naive Bayesian classifier based on presence/absence of class-associated Pfam-A domains can distinguish three oxygen requirement classes (aerobe, anaerobe, facultative anaerobe) from genome sequence, unlike prior studies that only made pairwise distinctions.

  bacterial selected predicted pfam-a genome gene domain

• Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.

  PMID 19903332 · PMC3091321 · Genome biology · 2009 · 6 claims · 5 setups

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  A candidate 37-transcript diagnostic signature distinguishes septicemic melioidosis from sepsis caused by other organisms with 100% accuracy in the training set and 78%/80% accuracy in two independent validation sets

  blood whole-genome unsupervised class

• Comparative phosphoproteomics reveals evolutionary and functional conservation of phosphorylation across eukaryotes.

  PMID 18828897 · PMC2760871 · Genome biology · 2008 · 8 claims · 8 setups

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  The overlap between phosphoproteomes of six eukaryotes (human, mouse, fly, yeast, plant, zebrafish) is significantly greater than expected by chance.

  liver fruit yeast plant high-throughput comparative

• 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

• A Decentralized Kidney Transplant Biopsy Classifier for Transplant Rejection Developed Using Genes of the Banff-Human Organ Transplant Panel.

  PMID 35619722 · PMC9128066 · Frontiers in immunology · 2022 · 6 claims · 6 setups

  Has reproduction · 90

  A random forest model trained solely on B-HOT panel genes (B-HOT Model) accurately classifies kidney transplant biopsies as NR, ABMR, or TCMR.

  kidney gene combined microarray machine sequential