Indexed keywords
ARTICLE;
BIOLOGY;
DATA ANALYSIS;
EPIGENETICS;
GENE EXPRESSION;
MOLECULAR DYNAMICS;
MOLECULAR GENETICS;
POLYMERASE CHAIN REACTION;
ANIMALS;
BIOLOGY;
BIOPHYSICS;
GENE EXPRESSION;
GENE EXPRESSION REGULATION;
HUMANS;
MODELS, BIOLOGICAL;
MODELS, GENETIC;
MODELS, THEORETICAL;
MOLECULAR BIOLOGY;
PROBABILITY;
SYSTEMS BIOLOGY;
UNCERTAINTY;
1
33750808399
Discovery of principles of nature from mathematical modeling of DNA microarray data
O Alter 2006 Discovery of principles of nature from mathematical modeling of DNA microarray data Proc Natl Acad Sci USA 103 16063 16064
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Proc Natl Acad Sci USA
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Alter, O.1
2
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Singular value decomposition for genome-wide expression data processing and modeling
O Alter PO Brown D Botstein 2000 Singular value decomposition for genome-wide expression data processing and modeling Proc Natl Acad Sci USA 97 10101 10106
(2000)
Proc Natl Acad Sci USA
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Alter, O.1
Brown, P.O.2
Botstein, D.3
3
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The topology of the transcription regulatory network in the yeast, Saccharomyces cerivisiae
I Farkas 2003 The topology of the transcription regulatory network in the yeast, Saccharomyces cerivisiae Physica A 318 601 612
(2003)
Physica a
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, pp. 601-612
Farkas, I.1
4
48549105279
The relevance of physical and mathematical modes of thought on complex systems behavior in biological systems
A Giuliani JP Zbilut 1998 The relevance of physical and mathematical modes of thought on complex systems behavior in biological systems Complexity 3 23 24
(1998)
Complexity
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, pp. 23-24
Giuliani, A.1
Zbilut, J.P.2
5
0034682504
Fundamental patterns underlying gene expression profiles: Simplicity from complexity
NS Holter 2000 Fundamental patterns underlying gene expression profiles: Simplicity from complexity Proc Natl Acad Sci USA 97 8409 8414
(2000)
Proc Natl Acad Sci USA
, vol.97
, pp. 8409-8414
Holter, N.S.1
7
0035720318
Genome-wide oscillations in expression-wavelet analysis of time series data from yeast expression
RR Klevecz DB Murray 2001 Genome-wide oscillations in expression-wavelet analysis of time series data from yeast expression Mol Biol Rep 28 73 82
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Mol Biol Rep
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Klevecz, R.R.1
Murray, D.B.2
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Network scaling invariants help to elucidate basic topological principles of proteins
A Krishnan 2007 Network scaling invariants help to elucidate basic topological principles of proteins J Proteome Res 6 3924 3934
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J Proteome Res
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Krishnan, A.1
9
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Proteins as networks: Usefulness of graph theory in protein science
A Krishnan 2008 Proteins as networks: usefulness of graph theory in protein science Curr Protein Pept Sci 9 28 38
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Curr Protein Pept Sci
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Krishnan, A.1
11
0034020905
Is there a biology of quantum information?
K Matsuno RC Paton 2000 Is there a biology of quantum information? BioSystems 55 39 46
(2000)
BioSystems
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Matsuno, K.1
Paton, R.C.2
12
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Complexity in biology. Exceeding the limits of reductionism and determinism using complexity theory
F Mazzocchi 2008 Complexity in biology. Exceeding the limits of reductionism and determinism using complexity theory EMBO Rep 9 10 14
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EMBO Rep
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A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)
OG Troyanskaya 2003 A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae) Proc Natl Acad Sci USA 100 8348 8353
(2003)
Proc Natl Acad Sci USA
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, pp. 8348-8353
Troyanskaya, O.G.1
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Gene expression waves: Cell cycle independent collective dynamics in cultured cells
M Tsuchyia 2007 Gene expression waves: cell cycle independent collective dynamics in cultured cells FEBS J 274 2874 2886
(2007)
FEBS J
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, pp. 2874-2886
Tsuchyia, M.1
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Cancer classification and prediction using logistic regression with Bayesian gene selection
X Zhou 2004 Cancer classification and prediction using logistic regression with Bayesian gene selection J Biomed Inform 37 249 259
(2004)
J Biomed Inform
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, pp. 249-259
Zhou, X.1
18
12744261506
A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data
M Zou SD Conzen 2005 A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data Bioinformatics 21 71 79
(2005)
Bioinformatics
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Zou, M.1
Conzen, S.D.2