Ortiz Rodriguez, Nicole J.

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Commonalities in genetic signatures and signaling pathways in neurological disorders
(2017) Ortiz Rodriguez, Nicole J.; Cabrera Ríos, Mauricio; College of Engineering; Seguel, Jaime; Méndez, Mayra; Department of Industrial Engineering; Colón Rivera, Celia
Mathematical optimization is used to detect potential genetic differentially expressed genes and propose probable signaling structures common to Alzheimer (AD), Parkinson (PD) and Huntington’s Disease (HD). The characterizations of these three affections have been elusive in the literature, although their impact in society is projected to increase in the next decades worldwide. There are studies in the literature for each individual illness, but this work novelty is the study and comparison of all three disorders together. The search for the most correlated path among differentially expressed genes is carried out using network optimization formulations: Travelling Salesman Problem (TSP) and Minimum Spanning Tree (MST). For both, a set of differentially expressed genes is identified previously through multiple criteria optimization; a correlation coefficient is used to link every pair of genes.A cost model was developed with the information of the high yearly cost of the neurological diseases discussed in this work.