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).

• VIST: variational inference for single cell time series.

  PMID 41535949 · PMC12892444 · Genome biology · 2026 · 8 claims · 6 setups

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  VIST is a VAE-based method that decomposes single-cell gene expression into time-dependent and time-independent latent components

  toy drosophila aorta lung synthetic time-course latent

• Data driven network inference and longitudinal transcriptomics unveil dynamic regulation in Chronic Lymphocytic Leukaemia models.

  PMID 41540084 · PMC12894745 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups

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  The presence of immune cells in the environment significantly alters CLL cell activation

  autologous monoculture non-adherent pbmc bulk flow deconvolution

• Learning collective multicellular dynamics with an interacting mean field neural SDE model.

  PMID 41564117 · PMC12854464 · PLoS computational biology · 2026 · 7 claims · 5 setups

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  scIMF models multicellular dynamics as interacting diffusion processes using a McKean-Vlasov SDE solved via Neural SDE, with a Transformer-based cell-wise attention mechanism approximating the distribution-dependent drift term

  zebrafish embryonic pancreatic temporal umap cell-wise

• Comprehensive immune profiling reveals IFN-γ signaling in T cells mediates parasite phagocytosis in a rodent malaria model.

  PMID 41810957 · PMC13059739 · mBio · 2026 · 8 claims · 8 setups

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  IFN-γ signaling in T cells contributes to the development of malaria-associated lung pathology

  lungs pbnk65-infected cell-specific lung flow time-series qrt-pcr

• 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

• Insights into the coupling of duplication events and macroevolution from an age profile of animal transmembrane gene families.

  PMID 16895434 · PMC1534073 · PLoS computational biology · 2006 · 8 claims · 7 setups

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  The density of transmembrane gene duplicates positively correlates with the estimated maximum number of cell types of common ancestors

  transmembrane simulated age duplicate maximum kernel monte