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).

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

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

  Has reproduction

  Tree-based (XGBoost, LightGBM) and deep-learning (TabNet) tabular ML classifiers achieve state-of-the-art somatic vs germline classification in tumor-only WES samples, outperforming PureCN.

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

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

  Full-text index only

  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• Cancer genome standards for long-read sequencing using cancer cell line mixtures.

  PMID 41934171 · PMC13137868 · GigaScience · 2026 · 8 claims · 6 setups

  Full-text index only

  Long-read variant calling tools achieve recall rates comparable to short-read gold standards

  colo829 same whole-genome short-read 5mc

• RNA-Seq alignment to individualized genomes improves transcript abundance estimates in multiparent populations.

  PMID 25236449 · PMC4174954 · Genetics · 2014 · 8 claims · 7 setups

  Has reproduction · 50

  Genetic variants distinguishing an individual genome from the reference cause read misalignment and biased transcript abundance estimates, and fine-tuning of alignment algorithms does not correct this problem.

  liver genomic cast simulated bulk high-density rna-seq