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).

• SNiPer: improved SNP genotype calling for Affymetrix 10K GeneChip microarray data.

  PMID 16262895 · PMC1280925 · BMC genomics · 2005 · 8 claims · 5 setups

  Full-text index only

  Poorly performing SNPs (NoCall rate ≥25%) fail primarily due to inadequate training/localization of the MPAM statistical model call zone, not detection filter failure

  genomic genotype genotyped chromosomal snp clustering mendelian

• Genomics Define Malignant Transformation in Myeloma Precursor Conditions.

  PMID 41061199 · PMC12614327 · Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026 · 7 claims · 5 setups

  Has reproduction · 78

  Genomic profiling can identify malignant transformation in MGUS/SMM patients, distinguishing 'genomic MM' from 'genomic MGUS' despite identical clinical/morphologic presentation

  cd138+ mgus whole-exome whole-genome copy-number

• 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

• Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.

  PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 7 claims · 8 setups

  Has reproduction

  Tabular ML classifiers (TabNet, XGBoost, LightGBM) trained on tumor-only-derived features achieve state-of-the-art somatic vs germline classification, with AUC>94% on TCGA holdout and AUC>85% on metastatic melanoma.

  tcga metastatic tumor-only whole-exome wes copy-number

• Comparison of prognostic gene expression signatures for breast cancer.

  PMID 18717985 · PMC2533026 · BMC genomics · 2008 · 8 claims · 5 setups

  Full-text index only

  The three prognostic signatures (70-gene, 76-gene, GGI) show similar prognostic performance for predicting DMFS despite differing gene identity and development approach

  tbagd tbvdx gene clinical survival