Using Protein Interaction Networks to Understand Complex Diseases

被引：7

作者：

Koyutuerk, Mehmet ^{[1
]}

机构：

[1] Case Western Reserve Univ, Cleveland, OH 44106 USA

来源：

COMPUTER | 2012年 / 45卷 / 03期

基金：

美国国家科学基金会;

关键词：

Biotechnology; Proteins; Gene expression; Bioinformatics; Genomics; Biological system modeling; Biological cells; Biomedical informatics; Information theory; information theory; computational biology; genetics; bioinformatics; databases; mining methods and algorithms; graph algorithms; CANCER; PATHWAYS; OPINION;

D O I：

10.1109/MC.2012.40

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recent developments in biotechnology have enabled interrogation of the cell at various levels, leading to many types of "omic" data that provide valuable information on multiple genetic and environmental factors and their interactions.

引用

页码：31 / 38

页数：8

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