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).

• Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.

  PMID 40665390 · PMC12261677 · Epigenetics & chromatin · 2025 · 7 claims · 5 setups

  Has reproduction · 48

  Combining sex chromosomal DNAm markers with autosomal age-informative markers can produce a high-accuracy age prediction model competitive with autosomal-only models

  blood buffy methylation random spearman

• ResnetAge: A Resnet-Based DNA Methylation Age Prediction Method.

  PMID 38247911 · PMC10813502 · Bioengineering (Basel, Switzerland) · 2023 · 8 claims · 4 setups

  Has reproduction · 75

  ResnetAge, a ResNet-based neural network using 22,278 shared Illumina 27K/450K CpG sites, predicts DNA methylation age from beta values.

  shared independent methylation resnet comparative

• Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.

  PMID 19903332 · PMC3091321 · Genome biology · 2009 · 6 claims · 5 setups

  Full-text index only

  A candidate 37-transcript diagnostic signature distinguishes septicemic melioidosis from sepsis caused by other organisms with 100% accuracy in the training set and 78%/80% accuracy in two independent validation sets

  blood whole-genome unsupervised class

• Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.

  PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 8 claims · 7 setups

  Has reproduction · 68

  CEP120 and SPDL1 were identified as diagnostic genes for IDD using a random forest model

  blood gse150408 cep120 pbmcs bulk machine single-sample

• Discovery and validation of molecular patterns and immune characteristics in the peripheral blood of ischemic stroke patients.

  PMID 38650649 · PMC11034498 · PeerJ · 2024 · 8 claims · 8 setups

  Has reproduction · 83

  188 differentially expressed genes (DEGs) between IS and control blood samples were identified and enriched in immune-related biological pathways

  blood degs peripheral hub microarray kegg cibersort

• Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1.

  PMID 37583471 · PMC10423927 · Neurobiology of stress · 2023 · 7 claims · 5 setups

  Has reproduction · 66

  Differentially expressed genes in MDD patients are enriched in immune response, inflammatory response, neurodegeneration, and cerebellar atrophy pathways.

  blood transcriptomic postmortem saliva gsea machine differential

• Predicting position along a looping immune response trajectory.

  PMID 30296270 · PMC6175499 · PloS one · 2018 · 8 claims · 6 setups

  Has reproduction · 98

  Looper is a computational method that automatically identifies phase-shifted gene pairs (using SAX symbolic representation) that trace loops in longitudinal expression data.

  monocytes blood pbmcs montreal microarray qrt-pcr topological

• 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

• Identification of Key Genes in Atherosclerosis by Combined DNA Methylation and miRNA Expression Analyses.

  PMID 35949126 · PMC9682560 · Anatolian journal of cardiology · 2022 · 7 claims · 7 setups

  Full-text index only

  10 key genes (TCF7L2, CACNA1C, NRP1, GABBR2, FANCC, DCK, CCDC88C, TCF12, ABLIM1, PBX1) are regulated by both aberrant DNA methylation and miRNA activity in atherosclerosis

  aorta cardiovascular peripheral blood methylation mirna expression