machine learning toolbox release 2015a Search Results


conventional mri features  (MathWorks Inc)
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lehndal & agren 2015a,b  (Agren Inc)
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millar 2015a  (Millar Inc)
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Millar Inc millar 2015a
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observed allocations of productivity and biomass, and turnover times in tropical forests  (Koven Technology Inc)
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tysabri (natalizumab) injection  (Biogen Inc)
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death from drought in tropical forests is triggered by hydraulics not carbon starvation  (Galbraith Laboratories Inc)
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maple 2015a  (MapleSoft Inc)
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MapleSoft Inc maple 2015a
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kowdley 2015a  (Sanyal Biotechnology)
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Sanyal Biotechnology kowdley 2015a
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rkf45  (MapleSoft Inc)
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specific heat enthalpy of mepcm  (ANSYS inc)
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ANSYS inc specific heat enthalpy of mepcm
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dna pyrosequencing  (Pyrosequencing Inc)
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Pyrosequencing Inc dna pyrosequencing
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synapomorphy of phasiinae  (Shima Laboratories)
90
Shima Laboratories synapomorphy of phasiinae
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Image Search Results


Relevant radiogenomic studies predicting IDH mutational status.

Journal: Biomedicines

Article Title: Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology

doi: 10.3390/biomedicines10123205

Figure Lengend Snippet: Relevant radiogenomic studies predicting IDH mutational status.

Article Snippet: Zhang et al., 2016 [ ] , Machine learning algorithm to generate a model predictive of IDH genotype based on the integration of clinical features and conventional MRI features (Statistics and Machine Learning Toolbox MATLAB 2015a) , Top features resulted were age and MRI parametric intensity, texture, and shape features , 120 , AUC 0.92.

Techniques: Mutagenesis, Imaging

MRI tumor phenotype in relation to IDH mutational status and MGMT methylation status assessed by radiomic studies.

Journal: Biomedicines

Article Title: Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology

doi: 10.3390/biomedicines10123205

Figure Lengend Snippet: MRI tumor phenotype in relation to IDH mutational status and MGMT methylation status assessed by radiomic studies.

Article Snippet: Zhang et al., 2016 [ ] , Machine learning algorithm to generate a model predictive of IDH genotype based on the integration of clinical features and conventional MRI features (Statistics and Machine Learning Toolbox MATLAB 2015a) , Top features resulted were age and MRI parametric intensity, texture, and shape features , 120 , AUC 0.92.

Techniques: Methylation