Reconstructing the pathways of a cellular system from genome-scale signals by using matrix and tensor computations

Proceedings of the National Academy of Sciences of the United States of America

Volumn 102, Issue 49, 2005, Pages 17559-17564

  Alter, Orly ^a   Golub, Gene H ^b  

^a The University of Texas at Austin   (United States)

^b Stanford University   (United States)

Author keywords

DNA microarrays; Eigenvalue decomposition; Higher order eigenvalue decomposition; Pseudoinverse projection; Yeast Saccharomyces cerevisiae cell cycle and mating

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL ACTIVITY; COMPARATIVE STUDY; COMPUTER SIMULATION; DNA MICROARRAY; EXTRACELLULAR MATRIX; GENETIC ASSOCIATION; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATRIX EIGENVALUE DECOMPOSITION; NONHUMAN; PRIORITY JOURNAL; PSEUDOINVERSE PROJECTION AND A TENSOR HIGHER ORDER ANALYSIS; SIGNAL DETECTION; TENSOR COMPUTATION; YEAST;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION REGULATION, FUNGAL; GENOME, FUNGAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RNA, MESSENGER; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION;

SACCHAROMYCES CEREVISIAE;

EID: 29144433950     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0509033102     Document Type: Article

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