rs10739592 is a New Candidate Loci for Type 2 Diabetes Risk in Men

Spatial sensitivity of seismic hazard results to background seismic activity models Yilmaz, N.; Yücemen, Mehmet Semih (2011-08-04) In the probabilistic seismic hazard analysis, the past earthquake records that can not be associated with any one of the specific faults are treated as background seismic activity. Contribution of background seismic activity to seismic hazard is generally calculated by using two different models, namely: background area source with uniform seismicity and spatially smoothed seismicity model. In this study, two case studies are carried out for a large (a country) and a small region (a province) in order to in...
The effects of hybridization on developmental stability in the housefly(Musca domestica L.). Togan, İnci; Kence, Aykut; Department of Biological Sciences (1981)
Evaluation of Hypersingular Integrals on Curvilinear Surface Elements Selcuk, Gokhun; Koç, Seyit Sencer (2016-04-15) In this study finite part integrals are utilized for evaluation of hypersingular and nearly-hypersingular surface integrals on curvilinear elements. These integrals are related to the second derivative of the free space Green' function and arise in the solution of electric field integral equation (EFIE) via locally corrected Nystriim (LCN) method. The curvilinear elements are represented by the Taylor series expansion of the surface function around the observation point. The hypersingular integral, defined ...
LASP Local adaptive super pixels İNCE, Kutalmış Gökalp; Çığla, Cevahir; Alatan, Abdullah Aydın (2015-09-30) In this study, a novel gradient ascent approach is proposed for super-pixel extraction in which spectral statistics and super-pixel geometry are utilized to obtain an optimal Bayesian classifier for pixel to super-pixel label assignment. Utilization of the spectral variances and super-pixel areas reduces the dependency on user selected global parameters, while increasing robustness and adaptability. Proposed Local Adaptive Super-Pixels (LASP) approach exploits hexagonal tiling, while achieving some refineme...
Discovering missing heritability and early risk prediction for type 2 diabetes: a new perspective for genome-wide association study analysis with the Nurses' Health Study and the Health Professionals' Follow-Up Study Gul, Husamettin; Aydın Son, Yeşim; Acikel, Cengizhan (2014-12-01) Background/aim: Despite the rise in type 2 diabetes prevalence worldwide, we do not have a method for early risk prediction. The predictive ability of genetic models has been found to be little or negligible so far. In this study, we aimed to develop a better early risk prediction method for type 2 diabetes.

Citation Formats

H. Gul, Y. Aydın Son, and C. Acikel, “rs10739592 is a New Candidate Loci for Type 2 Diabetes Risk in Men,” 2014, vol. 205, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32141.