SCOPUS 정보 검색 플랫폼

2012 IEEE Statistical Signal Processing Workshop, SSP 2012

Volumn , Issue , 2012, Pages 560-563

Inference of genetic regulatory networks using regularized likelihood with covariance estimation

(4) Rasool, Ghulam a Bouaynaya, Nidhal a Fathallah Shaykh, Hassan M b Schonfeld, Dan c

a University of Arkansas ^* (United States)

b University of Alabama at Birmingham (United States)

c University of Illinois at Chicago (United States)

Author keywords

convex optimization; Gene regulatory network; maximum likelihood estimation; multivariate regression

Indexed keywords

CONNECTIVITY MATRIX; COVARIANCE ESTIMATION; COVARIANCE MATRICES; COVARIANCE STRUCTURES; GENE REGULATORY NETWORKS; GENETIC REGULATORY NETWORKS; JOINT ESTIMATION; MULTIVARIATE REGRESSION; NETWORK CONNECTIVITY; PRIOR KNOWLEDGE;

ALGORITHMS; CONVEX OPTIMIZATION; COVARIANCE MATRIX; MAXIMUM LIKELIHOOD ESTIMATION; REGRESSION ANALYSIS; SIGNAL PROCESSING;

ESTIMATION;

EID: 84868243235 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: 10.1109/SSP.2012.6319759 Document Type: Conference Paper

Times cited : (7)

References (6)

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2
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- DOI 10.1126/science.1081900
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3
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- Reverse engineering gene networks using singular value decomposition and robust regression
- DOI 10.1073/pnas.092576199
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4
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- Inference of gene regulatory networks and compound mode of action from time course gene expression profiles
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5
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- Inferring gene regulatory networks from time-ordered gene expression data of bacillus subtilis using differential equations
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6
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.