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).

• Multi-cohort and single-cell profiling of aging genes reveals prognostic and therapeutic targets in breast cancer.

  PMID 41732271 · PMC12924738 · iScience · 2026 · 8 claims · 7 setups

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  The eight-gene MLAG signature outperforms 100 previously published prognostic models across 12 independent breast cancer cohorts

  tcga-brca senescent normal single-cell machine univariate gene

• ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks.

  PMID 41592570 · PMC13069865 · Cell genomics · 2026 · 8 claims · 7 setups

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  ChromBERT is pre-trained via masked reconstruction on the Cistrome-Human-6K dataset (6,391 cistromes, 991 transcription regulators) to learn genome-wide interaction syntax of transcription regulators

  lines chromosome embryonic transcription chip-seq chromhmm hi-c

• Optimized mixed Markov models for motif identification.

  PMID 16749929 · PMC1534070 · BMC bioinformatics · 2006 · 8 claims · 4 setups

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  OMiMa can incorporate more than NNSplice's pairwise dependencies

  simulated regulatory splice biological motif pairwise

• FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.

  PMID 41551930 · PMC12805895 · NAR genomics and bioinformatics · 2026 · 7 claims · 8 setups

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  FLYNC, an explainable boosting machine (EBM) model, accurately predicts the probability that a newly identified RNA transcript in D. melanogaster is a lncRNA

  melanogaster drosophila automated ebm hyperparameter

• Applying proteomics to the diagnosis and treatment of ALS and related diseases.

  PMID 19670321 · PMC2836583 · Muscle & nerve · 2009 · 8 claims · 8 setups

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  Protein-based biomarkers for ALS/MND require further verification and large-scale validation/qualification studies, including disease mimics, before clinical use

  csf spinal biofluid muscle 2d-dige antibody luminex

• Predicting enhancers in mammalian genomes using supervised hidden Markov models.

  PMID 30917778 · PMC6437899 · BMC bioinformatics · 2019 · 8 claims · 8 setups

  Has reproduction · 70

  eHMM predicts enhancers with high precision and recall comparable to state-of-the-art methods and consistently outperforms them in accuracy and resolution

  esc atac-seq chip-seq cage

• Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma.

  PMID 41048340 · PMC12491262 · Frontiers in bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 71

  IRG expression pattern clusters LUAD patients into groups with significantly different survival outcomes and immune cell infiltration

  luad normal bulk wgcna tumor

• Deep-learning prediction of gene expression from personal genomes.

  PMID 41495833 · PMC12869966 · Genome biology · 2026 · 8 claims · 8 setups

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  Fine-tuning Enformer on paired personal WGS and RNA-seq data (Variformer) corrects Enformer's failure to predict inter-individual gene expression differences across held-out people.

  gtex rosmap same monocyte paired mutagenesis chromhmm

• EPInformer: scalable and integrative prediction of gene expression from promoter-enhancer sequences with multimodal epigenomic profiles.

  PMID 41832145 · PMC13133354 · Nature communications · 2026 · 8 claims · 7 setups

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  EPInformer outperforms existing gene expression prediction models (Xpresso, CREaTor, Seq-GraphReg, Enformer, Borzoi) in rigorous 12-fold cross-chromosome validation for both RNA-seq and CAGE expression prediction

  k562 lines likely cell-type-specific rna-seq cage abc