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).
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Has reproduction · 85
A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.
PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups
EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)
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CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inference.
PMID 42059479 · PMC13130071 · Briefings in bioinformatics · 2026 · 7 claims · 5 setups
CaHoT-GRN integrates pretrained biological language model embeddings (DNABERT for DNA, ESM for protein) with scRNA-seq expression data to improve GRN inference
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Fine structural analysis of the neuronal inclusions of frontotemporal lobar degeneration with TDP-43 proteinopathy.
PMID 18974920 · PMC2789307 · Journal of neural transmission (Vienna, Austria : 1996) · 2008 · 8 claims · 2 setups
TDP-43-immunoreactive inclusions (NCIs, DNs, NIIs) comprise two ultrastructural components: granular and filamentous/fibrillary material.
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GRNFormer: accurate gene regulatory network inference using graph transformer.
PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
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
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Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data.
PMID 41984780 · PMC13082667 · PLoS computational biology · 2026 · 7 claims · 4 setups
IGNITE is an unsupervised framework that infers directed, weighted, and signed GRNs directly from unperturbed scRNA-seq data using the inverse problem for a kinetic Ising model.
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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
CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation
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Identification of Cell Subpopulation-Specific Driver Genes Reveals Ideal Candidates for Renal Cell Carcinoma Immunotherapy.
PMID 42074110 · PMC13115843 · International journal of molecular sciences · 2026 · 8 claims · 8 setups
25 immune-related candidate driver genes were identified from tumor, myeloid, and lymphoid cell gene regulatory networks (GRNs) using SCENIC and topological Q statistics.
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AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.
PMID 41871930 · PMC13064981 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups
AutoGERN explicitly models regulatory information in the message-passing space via learned link (edge) embeddings, which are scored by a lightweight MLP to infer TF–target interactions.
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An AI-Enabled Single-Cell Transcriptomic Analysis Pipeline for Gene Signature Discovery in Natural Killer Cells Linked to Remission Outcomes in Chronic Myeloid Leukemia.
PMID 41972591 · PMC13072394 · Biology · 2026 · 8 claims · 7 setups
GAFA integrates latent-space representation, pseudotime trajectory modeling, GRN inference, and machine learning-based gene panel discovery into a single coherent pipeline, unlike existing workflows that treat these steps independently.
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Differential neuronal survival defines a novel axis of sexual dimorphism in the Drosophila brain.
PMID 41529688 · PMC7618834 · Cell genomics · 2026 · 8 claims · 7 setups
Sex differences in the Drosophila central brain do not result from large-scale transcriptional reprogramming, but from selective modifications within shared developmental lineages mediated by dsx and fru.
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Interpretable learning of temporal cellular dynamics from single-cell data.
PMID 41875867 · PMC13030976 · Cell reports methods · 2026 · 7 claims · 7 setups
NeuroVelo couples a linear latent phase-space projection with a non-linear neural ODE, using RNA velocity as a physics-informed loss penalty, to jointly model cellular dynamics and enable gene-level interpretability
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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
The presence of immune cells in the environment significantly alters CLL cell activation
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PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.
PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups
PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.
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Has reproduction · 95
A systems-level analysis of the mutually antagonistic roles of RKIP and BACH1 in dynamics of cancer cell plasticity.
PMID 37963558 · PMC10645512 · Journal of the Royal Society, Interface · 2023 · 8 claims · 7 setups
RKIP and BACH1 are negatively correlated with each other across most cancer types in TCGA
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Gene regulatory network determinants of rapid recall in human memory CD4(+) T cells.
PMID 41865369 · PMC13207208 · Cell reports · 2026 · 8 claims · 6 setups
Memory CD4+ T cells show enhanced chromatin accessibility proximal to rapid-recall genes compared to naive cells
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A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.
PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups
Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification