Biology Reference
In-Depth Information
[4]
B. Alberts, A. Johnson, J. Lewis, M. Raff, K. Roberts, and P. Walter.
Molecular
Biology of the Cell
. Garland Science, New York, 4 edition, 2002.
[5]
E. Almaas, B. Kovacs, T. Vicsek, Z. N. Oltvai, and A. L. Barabasi. Global organiza-
tion of metabolic fluxes in the bacterium escherichia coli.
Nature
, 427(6977):839-43,
2004.
[6]
R. R. Almon, D. C. DuBois, K. E. Pearson, D. A. Stephan, and W. J. Jusko. Gene
arrays and temporal patterns of drug response:
corticosteroid effects on rat liver.
Funct Integr Genomics
, 3(4):171-9, 2003.
[7]
O. Alter and G. H. Golub. Integrative analysis of genome-scale data by using pseu-
doinverse projection predicts novel correlation between dna replication and rna tran-
scription.
Proc Natl Acad Sci U S A
, 101(47):16577-82, 2004.
[8]
M. M. Babu, N. M. Luscombe, L. Aravind, M. Gerstein, and S. A. Teichmann.
Structure and evolution of transcriptional regulatory networks.
Curr Opin Struct Biol
,
14(3):283-91, 2004.
[9]
G. D. Bader, M. P. Cary, and C. Sander. Pathguide: a pathway resource list.
Nucleic
Acids Res
, 34(Database issue):D504-6, 2006.
[10]
A. L. Barabasi, R. Albert, and H. Jeong. Scale-free characteristics of random net-
works: the topology of the world-wide web.
Physica A
, 281(1-4):69-77, 2000.
[11]
A. L. Barabasi and Z. N. Oltvai. Network biology: understanding the cell's functional
organization.
Nat Rev Genet
, 5(2):101-13, 2004.
[12]
P. Blyszczuk, J. Czyz, G. Kania, M. Wagner, U. Roll, L. St-Onge, and A. M.
Wobus. Expression of pax4 in embryonic stem cells promotes differentiation of
nestin-positive progenitor and insulin-producing cells.
Proc Natl Acad Sci U S A
,
100(3):998-1003, 2003.
[13]
B. Bollobas.
Random Graphs
. Cambridge University Press, 2001.
[14]
A. L. Boulesteix and K. Strimmer. Predicting transcription factor activities from com-
bined analysis of microarray and chip data: a partial least squares approach.
Theor
Biol Med Model
, 2:23, 2005.
[15]
H. J. Bussemaker, H. Li, and E. D. Siggia. Regulatory element detection using corre-
lation with expression.
Nat Genet
, 27(2):167-71, 2001.
[16]
M. P. Cary, G. D. Bader, and C. Sander. Pathway information for systems biology.
FEBS Lett
, 579(8):1815-20, 2005.
[17]
X. L. Chen, Z. F. Xia, Y. X. Yu, D. Wei, C. R. Wang, and D. F. Ben. p38 mitogen-
activated protein kinase inhibition attenuates burn-induced liver injury in rats.
Burns
,
31(3):320-30, 2005.
[18]
A. M. Corbacho, G. Valacchi, L. Kubala, E. Olano-Martin, B. C. Schock, T. P. Kenny,
and C. E. Cross. Tissue-specific gene expression of prolactin receptor in the acute-
phase response induced by lipopolysaccharides.
Am J Physiol Endocrinol Metab
,
287(4):E750-7, 2004.
[19]
D. L. Corcoran, E. Feingold, and P. V. Benos. Footer: a web tool for finding mam-
malian dna regulatory regions using phylogenetic footprinting.
Nucleic Acids Res
,
33(Web Server issue):W442-6, 2005.
[20]
P. Crucitti, V. Latora, M. Marchiori, and A. Rapisarda. Error and attack tolerance
of complex networks.
Physica a-Statistical Mechanics and Its Applications
, 340(1-
3):388-394, 2004.
[21]
P. Csermely, V. Agoston, and S. Pongor. The efficiency of multi-target drugs: the net-
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