Computational models and methods for lipoprotein research
نویسندگان
چکیده
Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Linda Kumpula Name of the doctoral dissertation Computational models and methods for lipoprotein research Publisher School of Science Unit Dept. of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 25/2011 Field of research Computational Systems Biology Manuscript submitted 26.10.2010 Manuscript revised 08.03.2011 Date of the defence 01.04.2011 Language English Monograph Article dissertation (summary + original articles)
منابع مشابه
Lipoprotein lipase gene polymorphisms as risk factors for stroke: a computational and meta-analysis
Objective(s): Stroke is the most common neurological disorder and genetic susceptibility has an important role in its etiology. Polymorphism in several genes such as lipoprotein lipase (LPL) is propounded as a risk for stroke. This meta-analysis investigated the association of rs285 and rs320 LPL polymorphism with stroke risk. Materials and Methods: We searched PubMed, Clarivate Analytics Web o...
متن کاملReducing Computational and Memory Cost of Substructuring Technique in Finite Element Models
Substructuring in the finite element method is a technique that reduces computational cost and memory usage for analysis of complex structures. The efficiency of this technique depends on the number of substructures in different problems. Some subdivisions increase computational cost, but require little memory usage and vice versa. In the present study, the cost functions of computations and me...
متن کاملSalient regions detection in satellite images using the combination of MSER local features detector and saliency models
Nowadays, due to quality development of satellite images, automatic target detection on these images has been attracted many researchers' attention. Remote-sensing images follow various geospatial targets; these targets are generally man-made and have a distinctive structure from their surrounding areas. Different methods have been developed for automatic target detection. In most of these met...
متن کاملApplying Two Computational Classification Methods to Predict the Risk of Breast Cancer: A Comparative Study
Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...
متن کاملApplying Two Computational Classification Methods to Predict the Risk of Breast Cancer: A Comparative Study
Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011