Adaptive clustering and adaptive weighting methods to detect disease associated rare variants

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A clustering approach to identify rare variants associated with hypertension

With the development of the next-generation sequencing technology, the influence of rare variants on complex disease has gathered increasing attention. In this paper, we propose a clustering-based approach, the clustering sum test, to test the effects of rare variants association by using the simulated data provided by the Genetic Analysis Workshop 19 with an unbalanced case-control ratio. The ...

متن کامل

Prediction of slope stability using adaptive neuro-fuzzy inference system based on clustering methods

Slope stability analysis is an enduring research topic in the engineering and academic sectors. Accurate prediction of the factor of safety (FOS) of slopes, their stability, and their performance is not an easy task. In this work, the adaptive neuro-fuzzy inference system (ANFIS) was utilized to build an estimation model for the prediction of FOS. Three ANFIS models were implemented including g...

متن کامل

A powerful and adaptive association test for rare variants.

This article focuses on conducting global testing for association between a binary trait and a set of rare variants (RVs), although its application can be much broader to other types of traits, common variants (CVs), and gene set or pathway analysis. We show that many of the existing tests have deteriorating performance in the presence of many nonassociated RVs: their power can dramatically dro...

متن کامل

Surface Reconstruction Using Adaptive Clustering Methods

We present an automatic method for the generation of surface triangulations from sets of scattered points. Given a set of scattered points in three-dimensional space, without connectivity information, our method reconstructs a triangulated surface model in a two-step procedure. First, we apply an adaptive clustering technique to the given set of points, identifying point subsets in regions that...

متن کامل

Statistical Clustering Methods Applied to Adaptive Matched Field Processing

Matched field processing (MFP) has been extensively explored for use in detecting and localizing underwater sources. By matching the received data to replica vectors, which account for multipath effects, three-dimensional source localization is possible. A significant problem for MFP is that the beamformer output often displays high ambiguities in range and depth, with a single source leading t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: European Journal of Human Genetics

سال: 2012

ISSN: 1018-4813,1476-5438

DOI: 10.1038/ejhg.2012.143