Anca
Ramona Croitor Sava1, Diana Maria Sima1, Bernardo Celda2,3,
Sabine Van Huffel1
1ESAT-SCD-Biomed,
Katholieke Universiteit Leuven, Heeverle, Leuven, Belgium; 2Departamento
de Qumica-Fsica, Facultad de Qumica, Universitat de Valencia, Valencia, Spain;
3CIBER-BBN, ISC-III, Universitat de Valencia, Valencia, Spain
Glial
tumors have proved to be very heterogeneous, both in the malignancy grade and
in the tumor tissue type. We analyze the mixture of different tumor tissue
types (necrotic, high cellular and border tumor tissue) within HR-MAS spectra
by separating between the different sources that contribute to the profile of
each spectrum. Non-negative matrix factorization and independent component
analysis are used to extract the constituent source profiles and their
abundance distributions within all samples. Thus each feature vector is
represented as a linear combination of profiles corresponding to constituent
tissue types.