Index

277

low-grade glioma, 144

mathematical model, 168

glioma development model, 159

Murray’s diffusion model, 159

global thresholding

binary thresholding, 124

inverse threshold to zero, 124

inverse-binary thresholding,

124

threshold to zero, 124

truncate thresholding, 124

graph matching, 238

H

human-computer interaction

(HCI), 185

Huntington’s disease (HD), 13,

206, 210

clinical manifestations, 14

diagnosis, 13

microarray studies, 206

RNA-seq studies, 210

treatment, 14

I

iEEG, 175, 177

imaging genetics, 212

in vitro exp. GBM mimics

2.5D models, 84

2D models, 84

3D models, 85

inner cell mass, 44

K

KEGG, 256

L

laser capture microdissection

(LCM), 258

liquid chromatography-mass

spectrometry (LC-MS),

253

M

machine learning (ML), 174, 185

k-nearest neighbours (k-NN),

182, 185

linear discriminant analysis

(LDA), 182, 185

naive bayes classifier, 182

support vector machines

(SVM), 182, 185

magnetic resonance imaging

(MRI), 116

axial plane, 116

coronal plane, 116

sagittal plane, 116

T1-weighted MRI, 117

T2-weighted MRI, 117

major depressive disorders

(MDD), 23, 185, 207, 210

depression, 23

microarray studies, 207

RNA-seq studies, 210

treatment, 24

MALDI (matrix assisted laser

desorption ionization),

253

matching index, 229

mathematical modeling, 159

glioma development model,

159

Murray’s diffusion model, 159

mathematical oncology, 164

meningeal tumors, 18

meningioma, 205, 209

RNA-seq studies, 209

microarrays, 199

advantages, 200

Affymetrix, 200

Agilent, 200

chip, 199

disadvantages, 200

DNA microarrays, 200

gene expression, 200

hybridization-based method,

199

Illumina, 200

PCR, 200

modularity