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13 matching publication(s)
Distinct senotypes in p16- and p21-positive cells across human and mouse aging tissues.
PMID 41162753 · EMBO J · 2025
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50/100
Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.
PMID 41053409 · Cancer Metastasis Rev · 2025
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No computation
TGF-β-mediated activation of fibroblasts in cervical cancer: implications for tumor microenvironment and prognosis.
PMID 40124621 · PeerJ · 2025
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79/100
Integrative analysis of single-cell RNA-seq and gut microbiome metabarcoding data elucidates macrophage dysfunction in mice with DSS-induced ulcerative colitis.
PMID 38879692 · Commun Biol · 2024
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69/100
A cell atlas of the adult female Aedes aegypti midgut revealed by single-cell RNA sequencing.
PMID 38839790 · Sci Data · 2024
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95/100
Single cell analysis reveals the roles and regulatory mechanisms of type-I interferons in Parkinson's disease.
PMID 38566100 · Cell Commun Signal · 2024
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55/100
Decoding the tumor microenvironment and molecular mechanism: unraveling cervical cancer subpopulations and prognostic signatures through scRNA-Seq and bulk RNA-
PMID 38482016 · Front Immunol · 2024
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80/100
Bulk and single-cell characterisation of the immune heterogeneity of atherosclerosis identifies novel targets for immunotherapy.
PMID 36855107 · BMC Biol · 2023
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70/100
In vivo induction of activin A-producing alveolar macrophages supports the progression of lung cell carcinoma.
PMID 36650150 · Nat Commun · 2023
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96/100
Deconvolution of the hematopoietic stem cell microenvironment reveals a high degree of specialization and conservation.
PMID 35494238 · iScience · 2022
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60/100
Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological Contexts.
PMID 35053177 · Biomolecules · 2021
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100/100
Wx: a neural network-based feature selection algorithm for transcriptomic data.
PMID 31324856 · Sci Rep · 2019
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50/100
CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing.
PMID 30744683 · Genome Biol · 2019
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97/100