AIMC Topic: Neprilysin

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Machine learning based on multiplatform tests assists in subtype classification of mature B-cell neoplasms.

British journal of haematology Dec 3, 2024
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The WHO classification (morphology, immunology, cytogenetics and molecular biology) provides comprehensive diagnostic understandings. However, MBN subtypi...
Humans Machine Learning Retrospective Studies Leukemia, Lymphocytic, Chronic, B-Cell East Asian People Mutation Flow Cytometry Bone Marrow High-Throughput Nucleotide Sequencing Immunohistochemistry Lymphoma, B-Cell Neprilysin Lymphoma, Follicular CD5 Antigens Lymphoma, Mantle-Cell Leukemia, Hairy Cell Waldenstrom Macroglobulinemia
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Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Molecular & cellular proteomics : MCP Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Humans Machine Learning Biomarkers, Tumor Lymphoma, Large B-Cell, Diffuse Cell Line, Tumor Gene Expression Regulation, Neoplastic Proteomics Proteome Signal Transduction Neoplasm Proteins Principal Component Analysis Formaldehyde Apoptosis Regulatory Proteins Isotope Labeling GTPase-Activating Proteins Neprilysin Phosphoprotein Phosphatases Tissue Embedding Tissue Fixation
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