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).

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• Novel integrative genomics strategies to identify genes for complex traits.

  PMID 16886998 · PMC2367618 · Animal genetics · 2006 · 8 claims · 7 setups

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  Forward genetics is restricted to genes harboring mutations, systematically missing network genes that causally influence disease without themselves being mutated.

  bxd mice bxh alox5 qtl knockout linkage

• A ligand-centered framework for γδ T cell activation in colorectal cancer revealed by single-cell and transformer-based perturbation.

  PMID 41607803 · PMC12835328 · Frontiers in immunology · 2025 · 8 claims · 8 setups

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  CRC-infiltrating γδ T cells show varied activation levels, with the TRM-like population being the major tumor-infiltrating subtype and exhibiting the lowest effector and exhaustion signature scores.

  crc-infiltrating crc scrna-seq gene nichenet

• Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes.

  PMID 17158152 · PMC1802574 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  GLR is a novel maximum-likelihood measure of gene loss rate that probabilistically weighs all possible ancestral phyletic patterns rather than relying on a single parsimonious reconstruction.

  synthetic eukaryotic simulated 16-species analytical comparative simulation

• spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.

  PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups

  Has reproduction · 53

  spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data

  bistable three-gene emt circuits simulation mixed-state grn

• Embeddings from language models are good learners for single-cell data analysis.

  PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups

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  scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model

  scrna-seq multi-batch diseased perturbation clustering batch cell-type

• CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.

  PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation

  bulk previously round paired transfer-learning cross-species

• Modeling nascent transcription from chromatin landscape and structure with CLASTER.

  PMID 41691282 · PMC13011747 · Genome biology · 2026 · 7 claims · 8 setups

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  CLASTER, a deep neural network combining chromatin landscape tracks and 3D contact maps, accurately predicts kilobasepair-resolution nascent RNA (EU-seq) profiles in a DNA-sequence-agnostic manner

  embryonic mescs chromatin k562 eu-seq chip-seq micro-c

• Discovery of key regulators in classical monocyte phenotypes linked to COVID-19 severity using single-cell multi-omics sequencing.

  PMID 41732268 · PMC12925236 · iScience · 2026 · 8 claims · 8 setups

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  Two severity-associated classical monocyte (cMono) subtypes, IL7R+ and CD163+, exist with distinct transcriptional and epigenetic landscapes.

  pbmcs pbmc classical cmono single-nucleus differential multimodal

• Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet.

  PMID 41786602 · PMC13138013 · Genome research · 2026 · 7 claims · 5 setups

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  NNet uses PCA embedding followed by local KNN regression in PC space to construct cell-specific coexpression networks (CSNs), improving computational efficiency and estimate stability versus pairwise approaches.

  pbmc thp-1 lin small scrna-seq perturb-seq

• Operon information improves gene expression estimation for cDNA microarrays.

  PMID 16630355 · PMC1513396 · BMC genomics · 2006 · 7 claims · 3 setups

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  A hierarchical Bayesian model that borrows expression information from other genes within the same operon improves estimation of relative transcript levels.

  simulated coli simulated cdna two-color

• BMP and NODAL paracrine signalling regulate the totipotent-like cell state in embryonic stem cells.

  PMID 41660012 · PMC12876259 · Frontiers in cell and developmental biology · 2025 · 7 claims · 8 setups

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  BMP and NODAL (TGF-β) paracrine signalling are key routes of intercellular communication that respectively enhance or diminish the totipotent-like cell (TLC) state in mouse ESCs

  escs esc scrna-seq cellchat differential

• Early cAMP signaling orchestrates single-cell synchronicity throughout Dictyostelium development.

  PMID 41792273 · PMC13096493 · Communications biology · 2026 · 7 claims · 6 setups

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  cAMP-pulse signaling during early development induces transcriptome synchronicity at the single-cell level and morphological synchronicity at the multicellular level; its absence compromises synchronicity despite continued development.

  discoideum single-cell scrna-seq dissecting

• Systems biology: where it's at in 2005.

  PMID 16086862 · PMC1273629 · Genome biology · 2005 · 8 claims · 8 setups

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  High-throughput genetic-interaction and physical-interaction maps show only minimal overlap with each other, whereas literature-derived genetic and physical interaction maps share a much greater fraction of edges

  saccharomyces drosophila environmental literature systematic genome-wide