single cell transcriptomics

https://elifesciences.org/reviewed-preprints/98469v2/figures SCellBOW: AI-Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype... single cell transcriptomics ai driven risk stratification https://www.preprints.org/manuscript/202407.1683 Unravelling the Complexity of HNSCC through Single-Cell Transcriptomics[v1] | Preprints.org Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous and the most common form of head and neck cancer, posing significant challenges for... single cell transcriptomics https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2024.1466249/full Frontiers | Integration of single-cell transcriptomics and bulk transcriptomics to explore... BackgroundLung adenocarcinoma (LUAD) is a highly aggressive tumor with one of the highest morbidity and mortality rates in the world. Nucleotide metabolic pr... single cell transcriptomics frontiers integration bulk explore https://www.osti.gov/pages/biblio/2500945-advances-application-single-cell-transcriptomics-plant-systems-synthetic-biology Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology... The U.S. Department of Energy's Office of Scientific and Technical Information single cell transcriptomics https://elifesciences.org/articles/80956/peer-reviews Peer review in Single-cell transcriptomics identifies Keap1-Nrf2 regulated collective invasion in a... Comprehensive transcriptomic analyses describe the underlying tumorigenic gene expression state in the invasive Drosophila follicle cells following the loss of... single cell transcriptomics https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2015.00053/full Frontiers | Single Cell Transcriptomics: Methods and Applications Traditionally, gene expression measurements were performed on "bulk" samples containing populations of thousands of cells. Recent advances in genomic technol... single cell transcriptomics frontiers methods applications https://elifesciences.org/reviewed-preprints/98469v2/reviews SCellBOW: AI-Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype... single cell transcriptomics ai driven risk stratification https://openreview.net/forum?id=wVeuivoUmg&referrer=%5Bthe%20profile%20of%20Sarah%20Zhao%5D(%2Fprofile%3Fid%3D~Sarah_Zhao1) Scalable Amortized GPLVMs for Single Cell Transcriptomics Data | OpenReview Dimensionality reduction is crucial for analyzing large-scale single-cell RNA-seq data. Gaussian Process Latent Variable Models (GPLVMs) offer an interpretable... single cell transcriptomics scalable amortized data openreview https://elifesciences.org/articles/61276v1 Single-cell transcriptomics of the Drosophila wing disc reveals instructive epithelium-to-myoblast... single cell transcriptomics https://elifesciences.org/reviewed-preprints/100623 Deep learning linking mechanistic models to single-cell transcriptomics data reveals... single cell transcriptomics deep learning linking mechanistic models https://elifesciences.org/articles/61276/peer-reviews Peer review in Single-cell transcriptomics of the Drosophila wing disc reveals instructive... A single-cell atlas of the developing Drosophila wing disc at two time points enables a detailed understanding of the signals exchanged between different cell... single cell transcriptomics https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2025.1598756/full Frontiers | Single-cell transcriptomics and machine learning unveil ferroptosis features in... BackgroundLung adenocarcinoma (LUAD) is a major cause of cancer-related mortality worldwide. Tumor-associated macrophages (TAMs) play a crucial role in the t... single cell transcriptomics machine learning frontiers https://elifesciences.org/articles/57520 Single-cell transcriptomics reveals functionally specialized vascular endothelium in brain | eLife Reactive endothelial venules are a new vessel subtype characterized by consistent expression of cell adhesion molecules, preferential leukocyte transmigration,... single cell transcriptomics reveals https://www.frontiersin.org/journals/cellular-neuroscience/articles/10.3389/fncel.2023.1189709/full Frontiers | Single-cell transcriptomics combined with proteomics of intrathecal IgG reveal... The phenotypes of B lineage cells that produce oligoclonal IgG in multiple sclerosis have not been unequivocally determined. Here, we utilized single cell RN... single cell transcriptomics frontiers combined https://pmc.ncbi.nlm.nih.gov/articles/PMC12357469/ Global trends in machine learning applications for single-cell transcriptomics research - PMC Single-cell RNA sequencing (scRNA-seq) has revolutionized cellular heterogeneity analysis by decoding gene expression profiles at individual cell level, while... machine learning applications single cell transcriptomics global trends https://elifesciences.org/articles/98469 Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using... SCellBOW is a language model-based scRNA-seq analysis method that identifies malignant cell subpopulations and infers marker-free survival risks using transfer... single cell transcriptomics artificial intelligence risk stratification driven tumor https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2022.944325/full Frontiers | Single-cell transcriptomics reveals male germ cells and Sertoli cells developmental... Spermatogenesis holds considerable promise for human-assisted reproduction and livestock breeding based on stem cells. It occurs in seminiferous tubules with... single cell transcriptomics germ cells frontiers reveals https://www.universiteitleiden.nl/agenda/2025/05/integration-and-disentanglement-of-single-cell-and-spatial-transcriptomics-with-applications-in-autosomal-polycistic-kidney-disease Integration and disentanglement of single-cell and spatial transcriptomics with applications in... Prof.dr. D.J.M. Peters dr. A. Mahfouz Samenvatting Single-cell transcriptomics heeft ons begrip van cellulaire diversiteit en functie sterk verbeterd door... single cell spatial transcriptomics integration disentanglement https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2021.636743/full Frontiers | DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial... Single-cell RNA sequencing (scRNA-seq) data provides unprecedented information on cell fate decisions; however, the spatial arrangement of cells is often los...

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