Comparative Analysis of Biological Networks Hidden Markov model and Markov chain-based approach

被引：20

作者：

Yoon, Byung-Jun ^{[1
]}

Qian, Xiaoning ^{[2
]}

Sahraeian, Sayed Mohammad Ebrahim

机构：

[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA

[2] Univ S Florida, Dept Comp Sci & Engn, Tampa, FL 33620 USA

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2012年 / 29卷 / 01期

关键词：

PROTEIN-INTERACTION NETWORKS; CONSERVED PATHWAYS; GLOBAL ALIGNMENT; IDENTIFICATION; CANCER; DATABASE; YEAST; TOOL; CLASSIFICATION; INFERENCE;

D O I：

10.1109/MSP.2011.942819

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The diverse cellular mechanisms that sustain the life of living organisms are carried out by numerous biomolecules, such as deoxyribonucleic acids (DNAs), ribonucleic acids (RNAs), and proteins. Over the past few decades, significant research efforts have been made to sequence the genomes of various species and to search these genomes to track down genes that give rise to proteins and noncoding RNAs (ncRNAs) [1], [2]. As a result, the catalog of known functional molecules in cells has experienced a rapid expansion. ©2012 IEEE.

引用

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页码：22 / 34

页数：13

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