Machine learning-based classification of diffuse large B-cell lymphoma patients by their protein expression profiles

Keyphrases

• Machine Learning Classification 100%
• Lymphoma Patients 100%
• Diffuse Large B-cell Lymphoma (DLBCL) 100%
• Protein Expression Profile 100%
• Super-SILAC 66%
• Support Vector Machine 33%
• Tumor 33%
• Machine Learning 33%
• Protein Expression Pattern 33%
• Signaling Pathway 33%
• Signaling Molecules 33%
• Vector Analysis 33%
• Aberrations 33%
• Mass Spectrometry 33%
• Proteomics 33%
• Functional Level 33%
• Label-free Quantification 33%
• Expression Level 33%
• Formalin-fixed Paraffin-embedded Tissue 33%
• Extracellular Matrix Protein 1 (ECM1) 33%
• Proteomic Analysis 33%
• Cancer Progression 33%
• Differential Expression 33%
• Pathobiology 33%
• Cell of Origin 33%
• Learning Support 33%
• Quantitative Accuracy 33%
• Global Protein Expression 33%
• Understanding of Cancer 33%
• Quadrupole-Orbitrap 33%
• Shotgun Proteomics Analysis 33%
• Support Vector 33%
• Cancer Causation 33%
• Cancer Knowledge 33%
• TNFAIP8 33%
• TBC1D4 33%
• Protein Signature 33%
• Patient Samples 33%
• Tumor Protein 33%
• Lower Error Rates 33%

Medicine and Dentistry

• Protein Expression 100%
• Diffuse Large B-Cell Lymphoma 100%
• Proteomics 66%
• Malignant Neoplasm 66%
• Neoplasm 33%
• Signaling Molecule 33%
• Scleroprotein 33%
• Label-Free Quantification 33%
• Shotgun Proteomics 33%
• Orbitrap 33%
• Tumor Protein 33%
• Signal Transduction 33%
• Formaldehyde 33%
• Cell Line 33%

Biochemistry, Genetics and Molecular Biology

• Protein Expression 100%
• B Cell 100%
• Proteomics 66%
• Support Vector Machine 66%
• Signal Transduction 33%
• TBC1D4 33%
• Label-Free Quantification 33%
• Shotgun Proteomics 33%
• Extracellular Matrix Proteins 33%
• Scleroprotein 33%