Name
Title | ||
|---|---|---|
Genomics and metabolomics research for brain tumour diagnosis based on machine learning |
Abstract | ||
|---|---|---|
The incorporation of new biomedical technologies in the diagnosis and prognosis of cancer is changing medicine to an evidence-based diagnosis. We summarize some studies related to brain tumour research in Europe, based on the metabolic information provided by in vivo Magnetic Resonance Spectroscopy (MRS) and transcriptomic profiling observed by DNA microarrays. The first result presents the improvement in brain tumour diagnosis by combining Long TE and Short TE single voxel MR Spectra. Afterwards, a mixture model for binned and truncated data to characterize and classify MRS is reviewed. The classification of Glioblastomas Multiforme and Meningothelial Meningiomas using single-labeling cDNA-based microarrays was studied as proof of principle in the incorporation of genomic information to clinical diagnosis. Finally, we present a Decision Support System for in-vivo classification of brain tumours were the best inferred classifiers are deployed for their clinical use. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73007-1_122 | IWANN |
Keywords | Field | DocType |
brain tumour,short te single voxel,clinical use,genomic information,machine learning,clinical diagnosis,metabolomics research,dna microarrays,brain tumour research,long te,evidence-based diagnosis,brain tumour diagnosis,magnetic resonance spectroscopy,dna microarray,proof of principle,mixture model,truncated data | Voxel,Computer science,Metabolomics,In vivo magnetic resonance spectroscopy,Genomics,Clinical diagnosis,Artificial intelligence,Bioinformatics,DNA microarray,Machine learning,Cancer | Conference |
Volume | ISSN | Citations |
4507 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 3 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan M. García-Gómez | 1 | 1 | 0.37 |
| Salvador Tortajada | 2 | 9 | 3.64 |
| Javier Vicente | 3 | 1 | 0.37 |
| Carlos Sáez Xavier Castells | 4 | 1 | 0.37 |
| Jan Luts | 5 | 39 | 4.55 |
| Margarida Julià-Sapé | 6 | 1 | 0.37 |
| Alfons Juan-Císcar | 7 | 3 | 2.17 |
| Sabine Van Huffel | 8 | 1058 | 149.38 |
| Anna Barceló | 9 | 3 | 0.81 |
| Joaquín Ariño | 10 | 7 | 1.41 |
| Carles Arús | 11 | 127 | 12.63 |
| Montserrat Robles | 12 | 1064 | 58.83 |