Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites.
The aim of the paper is two-fold. First, we show that structure finding with the PC algorithm can be inherently unstable and requires further operational constraints in order to consistently obtain models that are faithful to the data. We propose a methodology to stabilise the structure finding proc...
Main Authors: | Raúl Vicente Casaña-Eslava, Sandra Ortega-Martorell, Paulo J Lisboa, Ana Paula Candiota, Margarida Julià-Sapé, José David Martín-Guerrero, Ian H Jarman |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0235057 |
Similar Items
-
Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models.
by: Sandra Ortega-Martorell, et al.
Published: (2019-01-01) -
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours
by: Ortega-Martorell Sandra, et al.
Published: (2012-03-01) -
Non-invasive grading of astrocytic tumours from the relative contents of myo-inositol and glycine measured by in vivo mrs
by: A P Candiota, et al.
Published: (2011-06-01) -
Suggestions for improving the visualization of magnetic resonance spectroscopy voxels and spectra
by: Vuong Truong, et al.
Published: (2020-08-01) -
Voxelized simulation of cerebral oxygen perfusion elucidates hypoxia in aged mouse cortex.
by: Grant Hartung, et al.
Published: (2021-01-01)