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).

• Accelerating rare disease diagnostics by linking DNA and RNA through an explainable and interactive RNA-guided workflow.

  PMID 41685349 · PMC12891912 · NAR genomics and bioinformatics · 2026 · 8 claims · 6 setups

  Has reproduction

  A streamlined RNA-guided workflow combining OUTRIDER, FRASER, Borzoi, and MOLGENIS VIP was developed to identify gene-disease associations by linking outlier gene expression/splicing to prioritized patient-level variants

  udn blood clinvar wgs wgs bulk rna-seq

• TOSCA: an automated Tumor Only Somatic CAlling workflow for somatic mutation detection without matched normal samples.

  PMID 36699358 · PMC9710689 · Bioinformatics advances · 2022 · 6 claims · 4 setups

  Has reproduction · 50

  TOSCA is the first automated, modular open-source tumor-only somatic calling workflow for whole-exome and targeted panel sequencing, covering raw reads through variant classification.

  t-cell hcc1395 clinical targeted whole-exome

• Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling.

  PMID 40993300 · PMC12460824 · NPJ digital medicine · 2025 · 8 claims · 8 setups

  Has reproduction

  Metabolic status is closely tied to tumor differentiation state, with distinct metabolic reprogramming occurring during thyroid cancer dedifferentiation

  thyroid fuscc gse193581 aggregated untargeted whole-exome transcriptomics

• 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