-
1
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
van't Veer, L.J., Dai, H., van de Vijver, M.J., He, Y.D., Hart, A.A., Mao, M., Peterse, H.L., van der Kooy, K., Marton, M.J., Witteveen, A.T., Schreiber, G.J., Kerkhoven, R.M., Roberts, C., Linsley, P.S., Bernards, R., Friend, S.H.: Gene expression profiling predicts clinical outcome of breast cancer. Nature 415 (6871), 530-536 (2002)
-
(2002)
Nature
, vol.415
, Issue.6871
, pp. 530-536
-
-
van't Veer, L.J.1
Dai, H.2
van de Vijver, M.J.3
He, Y.D.4
Hart, A.A.5
Mao, M.6
Peterse, H.L.7
van der Kooy, K.8
Marton, M.J.9
Witteveen, A.T.10
Schreiber, G.J.11
Kerkhoven, R.M.12
Roberts, C.13
Linsley, P.S.14
Bernards, R.15
Friend, S.H.16
-
2
-
-
0035949684
-
Predicting the clinical status of human breast cancer by using gene expression profiles
-
West, M., Blanchette, C., Dressman, H., Huang, E., Ishida, S., Spang, R., Zuzan, H., Olson Jr., J.A., Marks, J.R., Nevins, J.R.: Predicting the clinical status of human breast cancer by using gene expression profiles. PNAS 98(20), 11462-11467 (2001)
-
(2001)
PNAS
, vol.98
, Issue.20
, pp. 11462-11467
-
-
West, M.1
Blanchette, C.2
Dressman, H.3
Huang, E.4
Ishida, S.5
Spang, R.6
Zuzan, H.7
Olson Jr., J.A.8
Marks, J.R.9
Nevins, J.R.10
-
3
-
-
0742305866
-
Network biology: Understanding the cell's; functional organization
-
Barabási, A.L., Oltvai, Z.N.: Network biology: understanding the cell's; functional organization. Nat. Rev. Genet. 5(2), 101-113 (2004)
-
(2004)
Nat. Rev. Genet
, vol.5
, Issue.2
, pp. 101-113
-
-
Barabási, A.L.1
Oltvai, Z.N.2
-
4
-
-
25144479967
-
Inferring protein-protein interactions through high-throughput interaction data from diverse organisms
-
Liu, Y., Liu, N., Zhao, H.: Inferring protein-protein interactions through high-throughput interaction data from diverse organisms. Bioinformatics 21(15), 3279-3285 (2005)
-
(2005)
Bioinformatics
, vol.21
, Issue.15
, pp. 3279-3285
-
-
Liu, Y.1
Liu, N.2
Zhao, H.3
-
5
-
-
0036522639
-
Bayesian Methods for Elucidating Genetic Regulatory Networks
-
Hartemink, A.J., Gifford, D.K., Jaakkola, T.S., Young, R.A.: Bayesian Methods for Elucidating Genetic Regulatory Networks. IEEE Intelligent Systems 17(2), 37-43 (2002)
-
(2002)
IEEE Intelligent Systems
, vol.17
, Issue.2
, pp. 37-43
-
-
Hartemink, A.J.1
Gifford, D.K.2
Jaakkola, T.S.3
Young, R.A.4
-
6
-
-
0142059836
-
Protein complexes and functional modules in molecular networks
-
Spirin, V., Mirny, L.A.: Protein complexes and functional modules in molecular networks. PNAS 100(21), 12123-12128 (2003)
-
(2003)
PNAS
, vol.100
, Issue.21
, pp. 12123-12128
-
-
Spirin, V.1
Mirny, L.A.2
-
7
-
-
34247586171
-
Deciphering Protein-Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners
-
Shoemaker, B.A., Panchenko, A.R.: Deciphering Protein-Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners. PLoS Comput. Biol. 3(4), e43 (2007)
-
(2007)
PLoS Comput. Biol
, vol.3
, Issue.4
-
-
Shoemaker, B.A.1
Panchenko, A.R.2
-
8
-
-
0033669189
-
A network of protein-protein interactions in yeast
-
Schwikowski, B., Uetz, P., Fields, S.: A network of protein-protein interactions in yeast. Nat. Biotechnol. 18(12), 1257-1261 (2000)
-
(2000)
Nat. Biotechnol
, vol.18
, Issue.12
, pp. 1257-1261
-
-
Schwikowski, B.1
Uetz, P.2
Fields, S.3
-
9
-
-
45149101194
-
Current approaches to gene regulatory network modeling
-
S
-
Schlitt, T., Brazma, A.: Current approaches to gene regulatory network modeling. BMC Bioinformatics 8, S9 (2007)
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 9
-
-
Schlitt, T.1
Brazma, A.2
-
10
-
-
33846013249
-
Connectivity in the Yeast Cell Cycle Transcription Network: Inferences from Neural Networks
-
Hart, C.E., Mjolsness, E., Wold, B.J.: Connectivity in the Yeast Cell Cycle Transcription Network: Inferences from Neural Networks. PLoS Comput Biol 2(12), 1592-1607 (2006)
-
(2006)
PLoS Comput Biol
, vol.2
, Issue.12
, pp. 1592-1607
-
-
Hart, C.E.1
Mjolsness, E.2
Wold, B.J.3
-
11
-
-
36248944068
-
Inference of Genetic Regulatory Networks with Recurrent Neural Network Models Using Particle Swarm Optimization
-
Xu, R., Wunsch, D.C., Frank, R.L.: Inference of Genetic Regulatory Networks with Recurrent Neural Network Models Using Particle Swarm Optimization. Computational Biology and Bioinformatics 4(4), 681-692 (2007)
-
(2007)
Computational Biology and Bioinformatics
, vol.4
, Issue.4
, pp. 681-692
-
-
Xu, R.1
Wunsch, D.C.2
Frank, R.L.3
-
12
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
Khan, J., Wei, J.S., Ringnér, M., Saal, L.H., Ladanyi, M., Westermann, F., Berthold, F., Schwab, M., Antonescu, C.R., Peterson, C., Meltzer, P.S.: Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7(6), 673-679 (2001)
-
(2001)
Nat. Med
, vol.7
, Issue.6
, pp. 673-679
-
-
Khan, J.1
Wei, J.S.2
Ringnér, M.3
Saal, L.H.4
Ladanyi, M.5
Westermann, F.6
Berthold, F.7
Schwab, M.8
Antonescu, C.R.9
Peterson, C.10
Meltzer, P.S.11
-
13
-
-
19544377389
-
Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis
-
Lancashire, L., Schmid, O., Shah, H., Ball, G.: Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis. Bioinformatics 21(10), 2191-2199 (2005)
-
(2005)
Bioinformatics
, vol.21
, Issue.10
, pp. 2191-2199
-
-
Lancashire, L.1
Schmid, O.2
Shah, H.3
Ball, G.4
-
14
-
-
33746901239
-
The use of artificial neural networks in decision support in cancer: A systematic review
-
Lisboa, P.J., Taktak, A.F.: The use of artificial neural networks in decision support in cancer: A systematic review. Neural Networks 19(4), 408-415 (2006)
-
(2006)
Neural Networks
, vol.19
, Issue.4
, pp. 408-415
-
-
Lisboa, P.J.1
Taktak, A.F.2
-
15
-
-
44349110097
-
Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach
-
Lancashire, L., Rees, R.C., Ball, G.R.: Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach. Artif. Intell. Med. 43(2), 99-111 (2008)
-
(2008)
Artif. Intell. Med
, vol.43
, Issue.2
, pp. 99-111
-
-
Lancashire, L.1
Rees, R.C.2
Ball, G.R.3
-
16
-
-
0003444646
-
-
MIT Press, Cambridge
-
Rumelhart, D.E., McClelland, J.L.: Parallel Distribution Processing: Explorations in the Micro structure of Cognition, Foundations, vol. 1. MIT Press, Cambridge (1986)
-
(1986)
Parallel Distribution Processing: Explorations in the Micro structure of Cognition, Foundations
, vol.1
-
-
Rumelhart, D.E.1
McClelland, J.L.2
-
17
-
-
0242490780
-
Cytoscape: A software environment for integrated models of biomolecular interaction networks
-
Shannon, P., Markiel, A., Ozier, O., Baliga, N.S., Wang, J.T., Ramage, D., Amin, N., Schwikowski, B., Ideker, T.: Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13(11), 2498-2504 (2003)
-
(2003)
Genome Res
, vol.13
, Issue.11
, pp. 2498-2504
-
-
Shannon, P.1
Markiel, A.2
Ozier, O.3
Baliga, N.S.4
Wang, J.T.5
Ramage, D.6
Amin, N.7
Schwikowski, B.8
Ideker, T.9
-
18
-
-
0043123069
-
Carbonic anhydrase-9 expression levels and prognosis in human breast cancer: Association with treatment outcome
-
Span, P.N., Bussink, J., Manders, P., Beex, L.V., Sweep, C.G.: Carbonic anhydrase-9 expression levels and prognosis in human breast cancer: association with treatment outcome. British Journal of Cancer 89(2), 271-276 (2003)
-
(2003)
British Journal of Cancer
, vol.89
, Issue.2
, pp. 271-276
-
-
Span, P.N.1
Bussink, J.2
Manders, P.3
Beex, L.V.4
Sweep, C.G.5
-
19
-
-
0037598685
-
Retinoic Acid Differentially Regulates Cancer Cell Proliferation via Dose-Dependent Modulation of the Mitogen-Activated Protein Kinase Pathway
-
Crowe, D.L., Kim, R., Chandraratna, R.A.S.: Retinoic Acid Differentially Regulates Cancer Cell Proliferation via Dose-Dependent Modulation of the Mitogen-Activated Protein Kinase Pathway. Molecular Cancer Research 1, 532-540 (2003)
-
(2003)
Molecular Cancer Research
, vol.1
, pp. 532-540
-
-
Crowe, D.L.1
Kim, R.2
Chandraratna, R.A.S.3
-
20
-
-
6944243773
-
Prognostic Predictor with Multiple Fuzzy Neural Models Using Expression Profiles from DNA Microarray for Métastases of Breast Cancer
-
Takahashi, H., Masuda, K., Ando, T., Kobayashi, T., and Honda, H.: Prognostic Predictor with Multiple Fuzzy Neural Models Using Expression Profiles from DNA Microarray for Métastases of Breast Cancer. Journal of Bioscience and Bioengineering, 98(3), 193-199, (2004)
-
(2004)
Journal of Bioscience and Bioengineering
, vol.98
, Issue.3
, pp. 193-199
-
-
Takahashi, H.1
Masuda, K.2
Ando, T.3
Kobayashi, T.4
Honda, H.5
-
21
-
-
21344455515
-
The Myc Target Gene JPO1/CDCA7 Is Frequently Overexpressed in Human Tumors and Has Limited Transforming Activity In vivo
-
Osthus, R.C., Karim, B., Prescott, J.E., Smith, B.D., McDevitt, M., Huso, D.L., Dang, C.V.: The Myc Target Gene JPO1/CDCA7 Is Frequently Overexpressed in Human Tumors and Has Limited Transforming Activity In vivo. Cancer Research 65, 5620-5627 (2005)
-
(2005)
Cancer Research
, vol.65
, pp. 5620-5627
-
-
Osthus, R.C.1
Karim, B.2
Prescott, J.E.3
Smith, B.D.4
McDevitt, M.5
Huso, D.L.6
Dang, C.V.7
-
22
-
-
34248172298
-
Relation of a hypoxia metagene derived from head and neck cancer to prognosis of multiple cancers
-
Winter, S.C., Buffa, F.M., Silva, P., Miller, C., Valentine, H.R., Turley, H., Shah, K.A., Cox, G.J., Corbridge, R.J., Homer, J.J., Musgrove, B., Slevin, N., Sloan, P., Price, P., West, C.M., Harris, A.L.: Relation of a hypoxia metagene derived from head and neck cancer to prognosis of multiple cancers. Cancer Research 67(7), 3441-3449 (2007)
-
(2007)
Cancer Research
, vol.67
, Issue.7
, pp. 3441-3449
-
-
Winter, S.C.1
Buffa, F.M.2
Silva, P.3
Miller, C.4
Valentine, H.R.5
Turley, H.6
Shah, K.A.7
Cox, G.J.8
Corbridge, R.J.9
Homer, J.J.10
Musgrove, B.11
Slevin, N.12
Sloan, P.13
Price, P.14
West, C.M.15
Harris, A.L.16
-
23
-
-
0142052944
-
A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data
-
Jansen, R., Yu, H., Greenbaum, D., Kluger, Y., Krogan, N.J., Chung, S., Emili, A., Snyder, M., Greenblatt, J.F., Gerstein, M.: A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data. Science 302 (5644), 449-453 (2003)
-
(2003)
Science
, vol.302
, Issue.5644
, pp. 449-453
-
-
Jansen, R.1
Yu, H.2
Greenbaum, D.3
Kluger, Y.4
Krogan, N.J.5
Chung, S.6
Emili, A.7
Snyder, M.8
Greenblatt, J.F.9
Gerstein, M.10
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