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).

• A modified T-test feature selection method and its application on the HapMap genotype data.

  PMID 18267305 · PMC5054219 · Genomics, proteomics & bioinformatics · 2007 · 7 claims · 4 setups

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  A modified t-test ranking measure, extended to handle nominal SNP genotype data via vector transformation, can effectively rank SNPs by their discriminative capability for population classification.

  hapmap modified f-statistics informativeness

• Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.

  PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups

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  None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.

  ensembl swissprot same structural foldx side

• 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

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

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  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative

• Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.

  PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups

  Has reproduction · 80

  Combining WGCNA-derived hub genes with a VAE-derived 10-dimensional representation as features for an SVM classifier achieves high accuracy (0.9692) and AUC (0.9981) for colorectal cancer prediction.

  colorectal combined differentially crc microarray differential weighted

• CanPredict: a computational tool for predicting cancer-associated missense mutations.

  PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated

  missense observed sjoblom refseq cross-validation recurrence comparative

• Improving melanoma classification by integrating genetic and morphologic features.

  PMID 18532874 · PMC2408611 · PLoS medicine · 2008 · 7 claims · 5 setups

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  BRAF-mutant melanomas show distinct morphological features (upward migration and nesting of intraepidermal melanocytes, epidermal thickening, sharper lateral demarcation, larger/rounder/more pigmented tumor cells) compared to non-mutant melanomas

  archival same subset patients histopathological mutation quantitative

• Structural evolution of the protein kinase-like superfamily.

  PMID 16244704 · PMC1261164 · PLoS computational biology · 2005 · 8 claims · 5 setups

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  All kinases in the superfamily share a 'universal core' domain consisting only of the regions required for ATP binding and the phosphotransfer reaction.

  bank representative same kinase comparative manual structure-annotated

• In silico analysis of missense substitutions using sequence-alignment based methods.

  PMID 18951440 · PMC3431198 · Human mutation · 2008 · 8 claims · 7 setups

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  Carefully validated PMSA-based computational algorithms can achieve predictive values of ~75-95% for classifying missense substitutions as pathogenic or neutral.

  clinically sequence curated deep blosum62 sift align-gvgd

• 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

• The process chain for peptidomic biomarker discovery.

  PMID 16410650 · PMC3850862 · Disease markers · 2006 · 8 claims · 3 setups

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  Peptidomics (comprehensive analysis of peptides and small proteins <20 kDa) fills a methodological gap left by standard proteomics, which mainly addresses proteins in the ~10-200 kDa range.

  general body patients 2d-gel peptidomics peptidomic

• A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.

  PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups

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  Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.

  breast preprocessed microarray two-color perturbation

• Re-evaluating early breast neoplasia.

  PMID 18279539 · PMC2374963 · Breast cancer research : BCR · 2008 · 8 claims · 7 setups

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  The classic single linear model of breast cancer progression requires revision based on high-throughput molecular genetic and gene expression data.

  dcis breast patient-matched premalignant comparative combined cdna

• GeMI: interactive interface for transformer-based Genomic Metadata Integration.

  PMID 35657113 · PMC9216561 · Database : the journal of biological databases and curation · 2022 · 8 claims · 5 setups

  Has reproduction · 64

  GeMI is a web tool that uses a fine-tuned GPT2 model to extract 15 structured key-value attributes from free-text GEO sample metadata.

  cistrome encode geo fine-tuned manual batch transformer-based

• Integrated drug resistance and leukemic stemness gene-expression scores predict outcomes in large cohort of over 3500 AML patients from 10 trials.

  PMID 39090192 · PMC11294346 · NPJ precision oncology · 2024 · 7 claims · 6 setups

  Has reproduction · 50

  A 5-gene ADE-Resistance Score (ADE-RS5), derived via LASSO regression from 67 pharmacologically relevant genes, predicts MRD positivity, EFS and OS in pediatric AML.

  pediatric combined lasso gene-expression-based integrated

• ARED 3.0: the large and diverse AU-rich transcriptome.

  PMID 16381826 · PMC1347415 · Nucleic acids research · 2006 · 7 claims · 6 setups

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  ARED 3.0 computationally mapped more than 4000 ARE-mRNAs to the human genome, representing 5-8% of human genes.

  records est est-derived combined computational est sequence

• 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

• Genetic and epigenetic alterations of Ras signalling pathway in colorectal neoplasia: analysis based on tumour clinicopathological features.

  PMID 17923875 · PMC2360240 · British journal of cancer · 2007 · 8 claims · 4 setups

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  K-ras/BRAF mutations and RASSF2 methylation frequently co-occur in colorectal adenomas, suggesting synergistic cooperation

  colorectal clinicopathological direct combined histopathological

• Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.

  PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups

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  Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity

  breast early-stage diffuse dlbcl gene

• Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

  PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups

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  MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.

  engineered p53 computational yeast-based regional homology