Towards prediction of CML Treatment Outcomes with Machine Learning and CyTOF Data [PDF]
Predicting responses to therapy for patients with Chronic Myeloid Leukemia (CML) is crucial for optimizing treatment strategies. This study utilizes machine learning models with mass cytometry (CyTOF) data from samples taken before treatment, at 3 hours ...
Bergenheim, Mathilde Blom
core
Introduction Immunosenescence disrupts surveillance and contributes to age-related diseases, yet its mechanisms remain incompletely understood.
Stephen Li +3 more
core +1 more source
Protocol for single-cell epigenetic profiling in human organoids and tumoroids with Epi-CyTOF. [PDF]
Senoglu E +7 more
europepmc +1 more source
Single-cell immune profiling of blood and thrombus in cancer-associated thrombosis. [PDF]
Zhou L +5 more
europepmc +1 more source
Quantitative Single-Cell Multielemental Analysis Using Metal-Loaded Microparticles: toward a Universal Quantification Workflow in Mass Cytometry. [PDF]
de la Rosa-Díaz Á +3 more
europepmc +1 more source
Editorial: Multiomics advances: bridging gaps in understanding intricate biological systems. [PDF]
Singh V.
europepmc +1 more source
Characterizing the Immune Landscape of a Syngeneic Mouse Model with Regional Lymph Node Metastasis and Distant Lung Metastasis. [PDF]
Xiao D +11 more
europepmc +1 more source
ConvexGating infers gating strategies from clusters in single cell cytometry data. [PDF]
Friedrich VD +19 more
europepmc +1 more source
CellFuse Enables Multimodal Integration of Single-Cell and Spatial Proteomics Data for Systems-Level Analysis in Cancer. [PDF]
Koladiya A +5 more
europepmc +1 more source
Radiosensitive HSPC Subsets Define Early Hematopoietic Injury and Enable H-ARS Therapeutic Screening. [PDF]
Sim HB +7 more
europepmc +1 more source

