An integrated genetics approach for identifying protein signal pathways of Alzheimer's disease

Computer Methods in Biomechanics and Biomedical Engineering

Volumn 14, Issue 4, 2011, Pages 371-378

  Huang, Yue ^a   Sun, Xuezhi ^b   Hu, Guangshu ^a  

^a Tsinghua University   (China)

^b NATIONAL INSTITUTE OF RADIOLOGICAL SCIENCES   (Japan)

Author keywords

Alzheimer's disease; LA SEN; Linear programming model; Linear regression model; Microarray data; Protein protein interaction network

Indexed keywords

ALZHEIMER'S DISEASE; LA-SEN; LINEAR PROGRAMMING MODEL; LINEAR REGRESSION MODEL; MICROARRAY DATA; PROTEIN-PROTEIN INTERACTION NETWORK;

ACTIVE NETWORKS; ELECTRIC NETWORK ANALYSIS; GENE EXPRESSION; INTEGER PROGRAMMING; LINEAR PROGRAMMING; LINEAR REGRESSION; NEURODEGENERATIVE DISEASES;

PROTEINS;

AMYLOID PRECURSOR PROTEIN; GLYCOGEN SYNTHASE KINASE 3; GLYCOGEN SYNTHASE KINASE 3 ALPHA; PROTEIN; TAU PROTEIN;

ALGORITHM; ALZHEIMER DISEASE; ANIMAL; ARTICLE; C57BL MOUSE; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; MOUSE; SIGNAL TRANSDUCTION; STATISTICAL MODEL; TRANSGENIC MOUSE;

ALGORITHMS; ALZHEIMER DISEASE; AMYLOID BETA-PROTEIN PRECURSOR; ANIMALS; GENE EXPRESSION PROFILING; GLYCOGEN SYNTHASE KINASE 3; LINEAR MODELS; MICE; MICE, INBRED C57BL; MICE, TRANSGENIC; PROTEINS; SIGNAL TRANSDUCTION; TAU PROTEINS;

EID: 79953312851     PISSN: 10255842     EISSN: 14768259     Source Type: Journal    
DOI: 10.1080/10255842.2010.482525     Document Type: Article

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