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).

• Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.

  PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups

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  Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile

  gm12878 curated bulk training hi-c ctcf matched

• EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.

  PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs

  dbps tfs common ctcf deep comparative feature-ablation

• 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

• HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups

  Has reproduction · 67

  Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution

  pbmc derived tcga-lihc scrna-seq simulated bulk

• Mitochondrial DNA methylation predicts immunotherapy response and prognosis in lung adenocarcinoma: evidence from scRNA-Seq and machine learning.

  PMID 41663976 · PMC12997902 · BMC cancer · 2026 · 8 claims · 8 setups

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  Differentially expressed MTDM-related genes (DEMTDMRGs) are significantly enriched in cell cycle regulation, ferroptosis, and ABC transporter pathways

  luad demtdmrgs gse131907 wgcna kegg univariate

• Comprehensive analysis for the role of macrophage-driven genes in abdominal aortic aneurysm.

  PMID 41815567 · PMC12973086 · Cardiovascular diagnosis and therapy · 2026 · 8 claims · 8 setups

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  SMU1 is identified as a novel macrophage-related gene associated with AAA development, serving as a potential diagnostic biomarker and therapeutic target

  aaa macrophage-related merged gwas single-cell bulk rt-qpcr

• Fibroblast-associated CTHRC1 as a key indicator of recurrence risk in prostate cancer.

  PMID 41832493 · PMC13101373 · World journal of surgical oncology · 2026 · 7 claims · 8 setups

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  Pathological T stage, N stage, Gleason score, and TP53 mutation are associated with higher PRAD recurrence risk

  tcga geo prad scrna-seq bulk single-cell cell-cell

• GRNFormer: accurate gene regulatory network inference using graph transformer.

  PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information

  hematopoietic embryonic dendritic hepatocytes scrna-seq chip-seq string

• Identification and validation of key PANoptosis-related genes via integrative machine learning and single-cell sequencing in AILI.

  PMID 41858622 · PMC12995703 · iScience · 2026 · 8 claims · 8 setups

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  Cdkn1a and Pdk1 are key PANoptosis-related genes with high diagnostic potential for AILI

  liver training bulk wgcna machine

• 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

• Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.

  PMID 39152432 · PMC11328457 · Journal of translational medicine · 2024 · 7 claims · 8 setups

  Has reproduction · 42

  PAAD tumors can be consensus-clustered into immunologically hot and cold subtypes based on CIBERSORT-derived immune cell fractions, with significantly different survival outcomes.

  paad degs bulk consensus tumor

• Construction of a SEMA3 family-based model to predict prognosis and molecular subtypes in pancreatic ductal adenocarcinoma.

  PMID 41792569 · PMC13079247 · Discover oncology · 2026 · 8 claims · 8 setups

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  SEMA3 family expression defines two molecular subtypes (A and B) of PDAC with significantly different overall survival

  pdac bulk ssgsea differential

• A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.

  PMID 41923359 · PMC13090826 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data

  lncrna hypertrophic gencode lncrna-protein-mirna mlp-based independent ablation