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).

• Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.

  PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups

  Has reproduction · 86

  A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.

  known tnbc unique unknown gene machine term

• Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.

  PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups

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  An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes

  genome training svm support leave-one-out sensitivity

• miRNAMap: genomic maps of microRNA genes and their target genes in mammalian genomes.

  PMID 16381831 · PMC1347497 · Nucleic acids research · 2006 · 6 claims · 6 setups

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  miRNAMap integrates known miRNA genes from miRBase, literature-curated validated targets, and computationally predicted miRNA genes and targets for human, mouse, rat and dog.

  conserved putative mirna-target normal comparative machine mirna

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold

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

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

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

  genome mirna hairpins chromosome secondary linear five-fold

• 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

• Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer.

  PMID 33777753 · PMC7991912 · Frontiers in oncology · 2021 · 7 claims · 8 setups

  Has reproduction · 81

  Cisplatin exposure induces significant deregulation of protein expression networks in NSCLC cells

  h460 nsclc swath-ms western machine

• All systems GO for understanding mouse gene function.

  PMID 15610553 · PMC549721 · Journal of biology · 2004 · 7 claims · 4 setups

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  Quantitative, multivariate cross-tissue expression measurements are powerfully predictive of gene function

  diverse tissues computational dye-swap reverse-transcription-coupled support

• Large-scale structural analysis of the core promoter in mammalian and plant genomes.

  PMID 16049029 · PMC1181242 · Nucleic acids research · 2005 · 8 claims · 7 setups

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  DNA encodes at least two independent levels of functional information: protein/TF-binding sequence information and physical/structural properties of the molecule itself.

  core-promoter arabidopsis rice computational adaptive linear