Statistical and Computational Methods for Genetic Diseases: An Overview

被引：15
作者：
Camastra, Francesco [1 ]
Di Taranto, Maria Donata [2 ]
Staiano, Antonino [1 ]
机构：
[1] Univ Naples Parthenope, Dept Sci & Technol, Ctr Direz Isola C4, I-80143 Naples, Italy
[2] IRCCS SDN, I-80143 Naples, Italy
来源：
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE | 2015年 / 2015卷
关键词：
GENOME-WIDE ASSOCIATION; SINGLE-NUCLEOTIDE POLYMORPHISMS; STRUCTURE PREDICTION; MISSING HERITABILITY; RANDOM FORESTS; WEB SERVER; METAANALYSIS; NETWORKS; MODEL; POWER;
D O I：
10.1155/2015/954598
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The identification of causes of genetic diseases has been carried out by several approaches with increasing complexity. Innovation of genetic methodologies leads to the production of large amounts of data that needs the support of statistical and computational methods to be correctly processed. The aim of the paper is to provide an overview of statistical and computational methods paying attention to methods for the sequence analysis and complex diseases.
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页数：8
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