-
1
-
-
0023043847
-
A turning point in cancer research: Sequencing the human genome
-
R. Dulbecco, "A turning point in cancer research: Sequencing the human genome," Science, vol. 231, pp. 1055-1056, 1986.
-
(1986)
Science
, vol.231
, pp. 1055-1056
-
-
Dulbecco, R.1
-
2
-
-
0034614637
-
The hallmarks of cancer
-
D. Hanahan and R. A. Weinberg, "The hallmarks of cancer," Cell, vol. 100, pp. 57-70, 2000.
-
(2000)
Cell
, vol.100
, pp. 57-70
-
-
Hanahan, D.1
Weinberg, R.A.2
-
3
-
-
0242569305
-
Large-scale computational modeling of genetic regulatory networks
-
M. Stetter, G. Deco, and M. Dejori, "Large-scale computational modeling of genetic regulatory networks," Artif. Intell. Rev., vol. 20, pp. 75-93, 2003.
-
(2003)
Artif. Intell. Rev.
, vol.20
, pp. 75-93
-
-
Stetter, M.1
Deco, G.2
Dejori, M.3
-
4
-
-
0027909781
-
Multiplexed biochemical assays with biological chips
-
S. P. Fodor, R. P. Rava, X. C. Huang, A. C. Pease, C. P. Holmes, and C. L. Adams, "Multiplexed biochemical assays with biological chips," Nature, vol. 364, pp. 555-556, 1993.
-
(1993)
Nature
, vol.364
, pp. 555-556
-
-
Fodor, S.P.1
Rava, R.P.2
Huang, X.C.3
Pease, A.C.4
Holmes, C.P.5
Adams, C.L.6
-
5
-
-
0028806048
-
Quantitative monitoring of gene expression patterns with a cDNA microarray
-
M. Schena, D. Shalon, R. Davis, and P. O. Brown, "Quantitative monitoring of gene expression patterns with a cDNA microarray," Science, vol. 270, pp. 467-470, 1995.
-
(1995)
Science
, vol.270
, pp. 467-470
-
-
Schena, M.1
Shalon, D.2
Davis, R.3
Brown, P.O.4
-
6
-
-
84984932472
-
Exploring the new world of the genome with DNA microarrays
-
P. O. Brown and D. Botstein, "Exploring the new world of the genome with DNA microarrays," Nature Genet., vol. 21, pp. 33-37, 1999.
-
(1999)
Nature Genet.
, vol.21
, pp. 33-37
-
-
Brown, P.O.1
Botstein, D.2
-
7
-
-
19044399684
-
Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
-
E.-J. Yeoh et al., "Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling," Cancer Cell, vol. 1, pp. 133-143, 2002.
-
(2002)
Cancer Cell
, vol.1
, pp. 133-143
-
-
Yeoh, E.-J.1
-
8
-
-
0242480974
-
-
Boston, MA: Kluwer
-
D. Berrar, W. Dubitzky, and M. Granzow, Eds., A Practical Approach to Microarray Data Analysis. Boston, MA: Kluwer, 2002.
-
(2002)
A Practical Approach to Microarray Data Analysis
-
-
Berrar, D.1
Dubitzky, W.2
Granzow, M.3
-
9
-
-
0041627900
-
Multiclass cancer classification using gene expression profiling and probabilistic neural networks
-
D. P. Berrar, C. S. Downes, and W. Dubitzky, "Multiclass cancer classification using gene expression profiling and probabilistic neural networks," in Proc. Pacific Symp. Biocomputing, 2003, pp. 5-16.
-
(2003)
Proc. Pacific Symp. Biocomputing
, pp. 5-16
-
-
Berrar, D.P.1
Downes, C.S.2
Dubitzky, W.3
-
11
-
-
0033707946
-
Using Bayesian networks to analyze expression data
-
N. Friedman, M. Linial, I. Nachman, and D. Pe'er, "Using Bayesian networks to analyze expression data," J. Comput. Biol., vol. 7, pp. 601-620, 2000.
-
(2000)
J. Comput. Biol.
, vol.7
, pp. 601-620
-
-
Friedman, N.1
Linial, M.2
Nachman, I.3
Pe'er, D.4
-
13
-
-
37649030420
-
Range-based attacks on links in scale-free networks: Are long-range links responsible for the small-world phenomenon?
-
A. E. Motter, T. Nishikawa, and Y.-C. Lai, "Range-based attacks on links in scale-free networks: Are long-range links responsible for the small-world phenomenon?," Phys. Rev. E, vol. 66, p. 065 103, 2002.
-
(2002)
Phys. Rev. E
, vol.66
, pp. 065103
-
-
Motter, A.E.1
Nishikawa, T.2
Lai, Y.-C.3
-
14
-
-
0034609791
-
The large-scale organization of metabolic networks
-
H. Jeong, B. Tombor, R. Albert, Z. Oltvai, and A. Barabasi, "The large-scale organization of metabolic networks," Nature, vol. 407, pp. 651-654, 2000.
-
(2000)
Nature
, vol.407
, pp. 651-654
-
-
Jeong, H.1
Tombor, B.2
Albert, R.3
Oltvai, Z.4
Barabasi, A.5
-
15
-
-
4544243999
-
Identifying interventional and pathogenic mechanisms by generative inverse modeling of gene expression profiles
-
to be published
-
M. Dejori and M. Stetter, "Identifying interventional and pathogenic mechanisms by generative inverse modeling of gene expression profiles," J. Comput. Biology, 2004, to be published.
-
(2004)
J. Comput. Biology
-
-
Dejori, M.1
Stetter, M.2
-
16
-
-
0242526935
-
RNA interference: On the road to an alternate therapeutic strategy!
-
R. S. Dave and R. J. Pomerantz, "RNA interference: On the road to an alternate therapeutic strategy!," Rev. Med. Virol, vol. 13, pp. 373-385, 2003.
-
(2003)
Rev. Med. Virol
, vol.13
, pp. 373-385
-
-
Dave, R.S.1
Pomerantz, R.J.2
-
17
-
-
0035221560
-
Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks
-
A. J. Hartemink, D. K. Gifford, T. S. Jaakkola, and R. A. Young, "Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks," in Proc. 6th Pacific Symp. Biocomputing, 2001, pp. 422-433.
-
(2001)
Proc. 6th Pacific Symp. Biocomputing
, pp. 422-433
-
-
Hartemink, A.J.1
Gifford, D.K.2
Jaakkola, T.S.3
Young, R.A.4
-
19
-
-
34249761849
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
D. Heckerman, D. Geiger, and D. Chickering, "Learning Bayesian networks: The combination of knowledge and statistical data," Mach. Learn., vol. 20, pp. 197-243, 1995.
-
(1995)
Mach. Learn.
, vol.20
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.3
-
20
-
-
0003846047
-
Learning Bayesian networks is NP-hard
-
D. M. Chickering, D. Geiger, and D. Heckerman, "Learning Bayesian networks is NP-hard," Microsoft Research, Tech. Rep. MSR-TR-94-17, 1994.
-
(1994)
Microsoft Research, Tech. Rep.
, vol.MSR-TR-94-17
-
-
Chickering, D.M.1
Geiger, D.2
Heckerman, D.3
-
21
-
-
26444479778
-
Optimization by simulated annealing
-
S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, "Optimization by simulated annealing," Science, vol. 220, no. 4598, pp. 671-680, 1983.
-
(1983)
Science
, vol.220
, Issue.4598
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.D.2
Vecchi, M.P.3
-
22
-
-
0242397555
-
-
Ph.D. dissertation, Munich Univ. Technol., Munich, Germany
-
H. Steck, "Constraint-based structural learning in Bayesian networks using finite data sets," Ph.D. dissertation, Munich Univ. Technol., Munich, Germany, 2001.
-
(2001)
Constraint-based Structural Learning in Bayesian Networks Using Finite Data Sets
-
-
Steck, H.1
-
24
-
-
85076216827
-
Bootstrap: Theory and applications
-
A. M. Zoubir, "Bootstrap: Theory and applications," Proc. SPIE, Advanced Signal Processing Algorithms, Architectures and Algorithms, vol. 2027, pp. 216-235, 1993.
-
(1993)
Proc. SPIE, Advanced Signal Processing Algorithms, Architectures and Algorithms
, vol.2027
, pp. 216-235
-
-
Zoubir, A.M.1
-
26
-
-
0002251094
-
Bucket elimination: A unifying framework for probabilistic inference
-
R. Dechter, "Bucket elimination: A unifying framework for probabilistic inference," in Proc. Conf. Uncertainty in Artificial Intelligence, 1996, pp. 211-219.
-
(1996)
Proc. Conf. Uncertainty in Artificial Intelligence
, pp. 211-219
-
-
Dechter, R.1
-
27
-
-
0027176915
-
PBX1 is converted into a transcriptional activator upon acquiring the N-terminal region of E2A in pre-b-cell acute lymphoblastic leukemia
-
M. A. van Duck, P. M. Voorhoeve, and C. Murre, "PBX1 is converted into a transcriptional activator upon acquiring the N-terminal region of E2A in pre-b-cell acute lymphoblastic leukemia," Proc. Nat. Acad. Sci., vol. 90, pp. 6061-6065, 1993.
-
(1993)
Proc. Nat. Acad. Sci.
, vol.90
, pp. 6061-6065
-
-
Van Duck, M.A.1
Voorhoeve, P.M.2
Murre, C.3
-
28
-
-
0035839891
-
The role of E2A-PBX1 in leukemogenesis
-
S. E. Aspland, H. H. Bendall, and C. Murre, "The role of E2A-PBX1 in leukemogenesis," Oncogene, vol. 20, pp. 5708-5717, 2001.
-
(2001)
Oncogene
, vol.20
, pp. 5708-5717
-
-
Aspland, S.E.1
Bendall, H.H.2
Murre, C.3
-
29
-
-
0032441150
-
Cluster analysis and display of genome-wide expression patterns
-
M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein, "Cluster analysis and display of genome-wide expression patterns," Proc. Nat. Acad. Sci., vol. 95, no. 25, pp. 14 863-14 868, 1998.
-
(1998)
Proc. Nat. Acad. Sci.
, vol.95
, Issue.25
, pp. 14863-14868
-
-
Eisen, M.B.1
Spellman, P.T.2
Brown, P.O.3
Botstein, D.4
-
30
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
T. R. Golub et al., "Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring," Science, vol. 286, pp. 531-537, 1999.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
-
31
-
-
0000155080
-
Inferring subnetworks from perturbed expression profiles
-
D. Pe'er, A. Regev, G. Elidan, and N. Friedman, "Inferring subnetworks from perturbed expression profiles," Bioinformatics, vol. 338, no. 1, pp. 1-9, 2001.
-
(2001)
Bioinformatics
, vol.338
, Issue.1
, pp. 1-9
-
-
Pe'er, D.1
Regev, A.2
Elidan, G.3
Friedman, N.4
-
32
-
-
0036372453
-
Estimation of genetic networks and functional structures between genes by using Bayesian network and non-parametric regression
-
S. Imoto, T. Goto, and S. Miyano, "Estimation of genetic networks and functional structures between genes by using Bayesian network and non-parametric regression," in Proc. Pacific Symp. Biocompiuing, 2002, pp. 175-186.
-
(2002)
Proc. Pacific Symp. Biocompiuing
, pp. 175-186
-
-
Imoto, S.1
Goto, T.2
Miyano, S.3
-
33
-
-
84960432692
-
Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks
-
S. Imoto, T. Higuchi, T. Goto, K. Tashiro, S. Kuhara, and S. Miyano, "Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks," in Proc. 2nd Computational Systems Bioinformatics Conf., 2003, pp. 104-113.
-
(2003)
Proc. 2nd Computational Systems Bioinformatics Conf.
, pp. 104-113
-
-
Imoto, S.1
Higuchi, T.2
Goto, T.3
Tashiro, K.4
Kuhara, S.5
Miyano, S.6
-
34
-
-
0037941585
-
Module networks: Identifying regulatory modules and their condition specific regulators from gene expression data
-
E. Segal, M. Shapira, A. Regev, D. Pe'er, D. Botstein, D. Koller, and N. Friedman, "Module networks: Identifying regulatory modules and their condition specific regulators from gene expression data," Nature Genet., vol. 34, no. 2, pp. 166-176, 2003.
-
(2003)
Nature Genet.
, vol.34
, Issue.2
, pp. 166-176
-
-
Segal, E.1
Shapira, M.2
Regev, A.3
Pe'er, D.4
Botstein, D.5
Koller, D.6
Friedman, N.7
-
35
-
-
0033518234
-
From molecular to modular cell biology
-
L. H. Hartwell, J. J. Hopfleld, S. Leibler, and A. W. Murray, "From molecular to modular cell biology," Nature, vol. 402, p. C47, 1999.
-
(1999)
Nature
, vol.402
-
-
Hartwell, L.H.1
Hopfleld, J.J.2
Leibler, S.3
Murray, A.W.4
-
36
-
-
3342951856
-
Mining functional modules in genetic networks by decomposable models
-
to be published
-
M. Dejori, A. Schwaighofer, V. Tresp, and M. Stetter, "Mining functional modules in genetic networks by decomposable models," OMICS, 2004, to be published.
-
(2004)
OMICS
-
-
Dejori, M.1
Schwaighofer, A.2
Tresp, V.3
Stetter, M.4
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