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Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies

, , , , and . NMR Biomedicine, 11 (4-5): 217--224 (June 1998)
DOI: doi:10.1002/(SICI)1099-1492(199806/08)11:4/5<217::AID-NBM512>3.0.CO;2-4

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Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies, , , , and . NMR Biomedicine, 11 (4-5): 217--224 (June 1998)Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors., , , , and . ICMLA, page 613-618. IEEE Computer Society, (2008)Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning., , , , , , , , , and 3 other author(s). IWANN, volume 4507 of Lecture Notes in Computer Science, page 1012-1019. Springer, (2007)Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset., , , and . KES (2), volume 5178 of Lecture Notes in Computer Science, page 189-196. Springer, (2008)DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data., , , , , and . BMC Bioinform., (2013)The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals., , , , , , , and . ESANN, page 131-136. (2002)A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases., , , , , , , and . ESANN, (2016)Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis., , , , and . ESANN, (2010)Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours., , , and . Multiple Classifier Systems, volume 2364 of Lecture Notes in Computer Science, page 282-292. Springer, (2002)Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis., , , , , and . IJCNN, page 1-8. IEEE, (2020)