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Computational Convolution of SELDI Data for the Diagnosis of Alzheimer’s Disease
Alzheimer’s disease is rapidly becoming an endemic for people over the age of 65. A vital path towards reversing this ominous trend is the building of reliable diagnostic devices for definite and early diagnoses in lieu of the longitudinal, usually inconclusive and non-generalize-able methods curren...
Autores principales: | Anyaiwe, Destiny E. O., Singh, Gautam B., Wilson, George D., Geddes, Timothy J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023511/ https://www.ncbi.nlm.nih.gov/pubmed/29772817 http://dx.doi.org/10.3390/ht7020014 |
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