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).

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes

  simulated tcga melanoma renal scrna-seq bulk single-cell

• A sequence knowledge-guided deep learning method for single-cell multi-omics translation.

  PMID 41975483 · PMC13185235 · Genome biology · 2026 · 7 claims · 7 setups

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  scProTrans, a deep learning framework combining sequence knowledge (dna2vec gene embeddings, ProtT5 protein embeddings) with a cross-omics attention mechanism, translates single-cell transcriptome data into proteome profiles

  multi-omics pbmcs datasets fully cite-seq cross-technology tri-omics

• Separating selection from mutation in antibody language models.

  PMID 41944291 · PMC13056363 · eLife · 2026 · 8 claims · 6 setups

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  Masked antibody language models such as AbLang2 are biased by nucleotide-level mutation processes (germline memorization, codon table, SHM rate variation)

  single nine antibody reconstructed masked-site correlation functional

• An end-to-end generalizable deep learning framework to comprehensively analyze transcriptional regulation.

  PMID 41922356 · PMC13212934 · Nature communications · 2026 · 8 claims · 7 setups

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  BioSeq2Seq is a transformer-based deep learning framework that predicts genome-wide transcriptional regulatory profiles at 128-bp resolution by jointly using RO-seq data and DNA sequence as tri-modal input

  k562 gm12878 imr-90 ro-seq chip-seq functional

• Glioblastoma stem cells show transcriptionally correlated spatial organization.

  PMID 41577992 · PMC12894897 · Communications biology · 2026 · 8 claims · 5 setups

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  GSCs from different patient samples exhibit diverse, characteristic multicellular spatial patterns in culture (e.g., anisotropic vs isotropic packing, overlapping vs non-overlapping space utilization)

  patient-derived computational matched pooled phase-contrast bulk principal

• Parameter-efficient fine-tuning enables scalable transfer of regulatory sequence models to novel contexts.

  PMID 41618434 · PMC12930932 · Genome biology · 2026 · 8 claims · 7 setups

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  PEFT enables accurate transfer of Borzoi to new datasets while significantly reducing GPU memory and runtime compared to joint training or full fine-tuning

  gtex encode wi-38 thp-1 bulk eqtl variant-flowfish

• Genome modelling and design across all domains of life with Evo 2.

  PMID 41781614 · PMC13128491 · Nature · 2026 · 8 claims · 8 setups

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  Evo 2 accurately predicts functional impacts of genetic variation, from noncoding pathogenic mutations to clinically significant BRCA1 variants, without task-specific fine-tuning

  gene prokaryotic species proteins zero-shot mutational stop

• SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.

  PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups

  Has reproduction · 74

  SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.

  pairs nanostring st-sc osmfish_zeisel st-sc 5-fold spatially