48 results on '"Abdelaal, Tamim"'
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2. High-dimensional analysis reveals an immune atlas and novel neutrophil clusters in the lungs of model animals with Actinobacillus pleuropneumoniae-induced pneumonia
3. Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain
4. SpaceWalker enables interactive gradient exploration for spatial transcriptomics data
5. OX40 agonism enhances PD-L1 checkpoint blockade by shifting the cytotoxic T cell differentiation spectrum
6. Activated HLA-DR+CD38+ Effector Th1/17 Cells Distinguish Crohn’s Disease-associated Perianal Fistulas from Cryptoglandular Fistulas
7. A third vaccination with a single T cell epitope confers protection in a murine model of SARS-CoV-2 infection
8. An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
9. Memory CD8+ T cell heterogeneity is primarily driven by pathogen-specific cues and additionally shaped by the tissue environment
10. scTopoGAN: unsupervised manifold alignment of single-cell data
11. An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
12. Combining Mass Cytometry Data by CyTOFmerge Reveals Additional Cell Phenotypes in the Heterogeneous Ovarian Cancer Tumor Microenvironment: A Pilot Study
13. Benchmarking variational AutoEncoders on cancer transcriptomics data
14. Integration of Mass Cytometry and Mass Spectrometry Imaging for Spatially Resolved Single Cell Metabolic Profiling
15. Memory CD4+ T cells are generated in the human fetal intestine
16. SpaceWalker: Interactive Gradient Exploration for Spatial Transcriptomics Data
17. Local and systemic immune profiles of human pancreatic ductal adenocarcinoma revealed by single-cell mass cytometry
18. Identification of a Disease-Associated Network of Intestinal Immune Cells in Treatment-Naive Inflammatory Bowel Disease
19. scTopoGAN: unsupervised manifold alignment of single-cell data
20. Reference-based cell type matching of spatial transcriptomics data
21. Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models
22. OX40 Agonism Enhances Efficacy of PD-L1 Checkpoint Blockade by Shifting the Cytotoxic T Cell Differentiation Spectrum
23. scMoC: single-cell multi-omics clustering
24. OX40 agonism enhances efficacy of PD-L1 checkpoint blockade by shifting the cytotoxic T cell differentiation spectrum
25. A third vaccination with a single T cell epitope protects against SARS-CoV-2 infection in the absence of neutralizing antibodies
26. SIRV: Spatial inference of RNA velocity at the single-cell resolution
27. scMoC: Single-Cell Multi-omics clustering
28. Phenotypic Characterization by Mass Cytometry of the Microenvironment in Ovarian Cancer and Impact of Tumor Dissociation Methods
29. Cytosplore-Transcriptomics: a scalable inter-active framework for single-cell RNA sequencing data analysis
30. SCHNEL: scalable clustering of high dimensional single-cell data
31. SpaGE: Spatial Gene Enhancement using scRNA-seq
32. A comparison of automatic cell identification methods for single-cell RNA sequencing data
33. Early-Life Compartmentalization of Immune Cells in Human Fetal Tissues Revealed by High-Dimensional Mass Cytometry
34. High-dimensional cytometric analysis of colorectal cancer reveals novel mediators of antitumour immunity
35. CyTOFmerge: integrating mass cytometry data across multiple panels
36. Predicting Cell Populations in Single Cell Mass Cytometry Data
37. Abstract A063: Multidimensional cytometric analysis of colorectal cancer reveals novel and diverse mediators of antitumor immunity
38. High-dimensional cytometric analysis of colorectal cancer reveals novel mediators of antitumour immunity.
39. Predicting cell types in single cell mass cytometry data
40. Memory CD4+T cells are generated in the human fetal intestine
41. Additional file 1 of A comparison of automatic cell identification methods for single-cell RNA sequencing data
42. Additional file 2 of A comparison of automatic cell identification methods for single-cell RNA sequencing data
43. Additional file 2 of A comparison of automatic cell identification methods for single-cell RNA sequencing data
44. Additional file 1 of A comparison of automatic cell identification methods for single-cell RNA sequencing data
45. Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling.
46. SIRV: spatial inference of RNA velocity at the single-cell resolution.
47. High-Dimensional Mass Cytometry Reveals Emphysema-associated Changes in the Pulmonary Immune System.
48. Memory CD8 + T cell heterogeneity is primarily driven by pathogen-specific cues and additionally shaped by the tissue environment.
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