• Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name:
Proposed Analysis:
Additional Investigators  
Investigator's Name: Onur Erdoğan
Proposed Analysis: Main goal of my research towards my doctoral degree, is to develop a predictive AD model with the highest classification performance. We will perform the meta-analysis of different AD data sets (ADNI, dbGAP, in-house…) separately, which have been obtained independently so far, and apply different types of hybrid data mining approaches for both the preprocessing step and the model construction. After statistical meta-analysis of each dataset, Analytical Hierarchy Process (AHP) or Random Forest (RF) technique will be implemented. Different combinations among the avaiable data-mining approaches will be used to determine the hybrid decision model with performance. Belief networks methods and other emerging apporaches will Be utilized for finalizing the meta-model, based on the large scale genotype-phenotype association data. Uncovering the genetic basis for disease is the critical step toward the goal of developing an effective system of “personalized” medicine.