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).

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups

  Has reproduction · 62

  A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.

  breast degs geo tcga gene protein-protein machine

• Mitochondrial DNA aberrations of bone marrow cells from patients with aplastic anemia.

  PMID 19119453 · PMC2610644 · Journal of Korean medical science · 2008 · 7 claims · 3 setups

  Full-text index only

  Bone marrow cells from AA patients show significantly more mtDNA aberrations (mean=25.6) than healthy controls (mean=12.8)

  bone buccal mtdna direct sequence

• Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

  PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups

  Has reproduction · 96

  Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.

  peripheral pbmc datasets hg-u133 gene bulk machine

• COVID-19 lung disease shares driver AT2 cytopathic features with Idiopathic pulmonary fibrosis.

  PMID 35870428 · PMC9297827 · EBioMedicine · 2022 · 8 claims · 8 setups

  Has reproduction · 85

  COVID-19 lung disease resembles IPF at a fundamental level, recapitulating ViP/IPF gene expression patterns, an IL15-centric cytokine storm, and AT2 cytopathic changes (injury, DNA damage, transient progenitor-state arrest, senescence/SASP).

  lung covid-19 interaction pre-clinical composite single-cell kaplan-meier

• Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.

  PMID 17124346 · PMC3862287 · Disease markers · 2006 · 8 claims · 5 setups

  Full-text index only

  SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers

  serum seldi seldi-tof serum univariate

• Artificial intelligence-guided discovery of gastric cancer continuum.

  PMID 36692601 · PMC9871434 · Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023 · 8 claims · 8 setups

  Has reproduction · 71

  A Boolean implication network built from GSE66229 yields a GC-BoNE gene signature (Boolean paths C#11-2-4-14 and C#7-13-14) that classifies tumor vs normal/adjacent-normal gastric samples

  gastric independent models prospective microarray transcriptomics

• DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome.

  PMID 18987736 · PMC2603574 · Nature · 2008 · 8 claims · 8 setups

  Full-text index only

  Whole genome sequencing can identify unbiased, novel somatic mutations in a cytogenetically normal AML genome that would not have been found by candidate-gene resequencing.

  aml tumor novo additional genome snp comparative

• The molecular characterization and clinical management of multiple myeloma in the post-genome era.

  PMID 19657360 · PMC3686133 · Leukemia · 2009 · 8 claims · 8 setups

  Full-text index only

  GEP identifies distinct molecular subgroups of MM associated with differing clinical features and survival outcomes

  myeloma cd138-immunomagnetically plasma bone-marrow filter-based gene-expression targeted

• MACanalyzeR scRNAseq analysis tool reveals PPARγ(HIGH)/GDF15(HIGH) lipid-associated macrophages facilitate thermogenic expansion in BAT.

  PMID 40450001 · PMC12126529 · Nature communications · 2025 · 8 claims · 8 setups

  Has reproduction · 70

  MACanalyzeR is a novel computational scRNAseq framework (with FoamSpotteR, MacPolarizeR, and PathAnalyzeR modules) for comprehensive monocyte/macrophage metabolic and phenotypic profiling

  bat stromal paraffin-embedded aortic bulk proteomics scrnaseq