-
1
-
-
0033576589
-
The promise of proteomics
-
Editorial
-
Editorial. The promise of proteomics. Nature 402 6763 (1999) 703
-
(1999)
Nature
, vol.402
, Issue.6763
, pp. 703
-
-
-
2
-
-
18244386985
-
-
M. Deng, K. Zhang, S. Mehta, T. Chen, F. Sun, Prediction of protein function using protein-protein interaction data, IEEE Computer Society Bioinformatics Conference, 2002, pp. 197-206.
-
-
-
-
4
-
-
0035369531
-
Protein-protein interaction maps: a lead towards cellular functions
-
Legrain P., Wojcik J., and Gauthier J.M. Protein-protein interaction maps: a lead towards cellular functions. Trends Genet. 17 (2001) 346-352
-
(2001)
Trends Genet.
, vol.17
, pp. 346-352
-
-
Legrain, P.1
Wojcik, J.2
Gauthier, J.M.3
-
5
-
-
0036601150
-
Computational methods for the prediction of protein interactions
-
Valencia A., and Pazos F. Computational methods for the prediction of protein interactions. Curr. Opin. Struct. Biol. 12 (2002) 368-373
-
(2002)
Curr. Opin. Struct. Biol.
, vol.12
, pp. 368-373
-
-
Valencia, A.1
Pazos, F.2
-
6
-
-
0033551248
-
Assigning protein functions by comparative genome analysis: protein phylogenetic profiles
-
Pellegrini M., Marcotte E.M., Thompson M.J., Eisenberg D., and Yeates T.O. Assigning protein functions by comparative genome analysis: protein phylogenetic profiles. Proc. Natl. Acad. Sci. USA 96 (1999) 4285-4288
-
(1999)
Proc. Natl. Acad. Sci. USA
, vol.96
, pp. 4285-4288
-
-
Pellegrini, M.1
Marcotte, E.M.2
Thompson, M.J.3
Eisenberg, D.4
Yeates, T.O.5
-
7
-
-
0032242111
-
Microbial genescapes: phyletic and functional patterns of ORF distribution among prokaryotes
-
Gaasterland T., and Ragan M.A. Microbial genescapes: phyletic and functional patterns of ORF distribution among prokaryotes. Microb. Comp. Genomics 3 (1998) 199-217
-
(1998)
Microb. Comp. Genomics
, vol.3
, pp. 199-217
-
-
Gaasterland, T.1
Ragan, M.A.2
-
8
-
-
0031024670
-
Conserved clusters of functionally related genes in two bacterial genomes
-
Tamames J., Casari G., Ouzounis C., and Valencia A. Conserved clusters of functionally related genes in two bacterial genomes. J. Mol. Evol. 44 (1997) 66-73
-
(1997)
J. Mol. Evol.
, vol.44
, pp. 66-73
-
-
Tamames, J.1
Casari, G.2
Ouzounis, C.3
Valencia, A.4
-
9
-
-
0033523989
-
Protein interaction maps for complete genomes based on gene fusion events
-
Enright A.J., Iliopoulos I., Kyrpides N.C., and Ouzounis C.A. Protein interaction maps for complete genomes based on gene fusion events. Nature 402 (1999) 86-90
-
(1999)
Nature
, vol.402
, pp. 86-90
-
-
Enright, A.J.1
Iliopoulos, I.2
Kyrpides, N.C.3
Ouzounis, C.A.4
-
10
-
-
0036360139
-
Towards the prediction of complete protein-protein interaction networks
-
Gomez S.M., and Rzhetsky A. Towards the prediction of complete protein-protein interaction networks. Pac. Symp. Biocomput. 7 (2002) 413-424
-
(2002)
Pac. Symp. Biocomput.
, vol.7
, pp. 413-424
-
-
Gomez, S.M.1
Rzhetsky, A.2
-
11
-
-
0037249217
-
Whole-proteome interaction mining
-
Bock J.R., and Gough D.A. Whole-proteome interaction mining. Bioinforrnatics 19 1 (2003) 125-134
-
(2003)
Bioinforrnatics
, vol.19
, Issue.1
, pp. 125-134
-
-
Bock, J.R.1
Gough, D.A.2
-
12
-
-
33746667246
-
-
R. Bandyopadhyay, K. Maatthews, D. Subramanian, X.X. Tan, Predicting protein-ligand interactions from primary structure, Rice University, Department of Computer Science, Technical Report TR02-387, February 2002.
-
-
-
-
13
-
-
0035023445
-
Predicting protein-protein interactions from primary structure
-
Bock J.R., and Gough D.A. Predicting protein-protein interactions from primary structure. Bioinformatics 17-5 (2001) 455-460
-
(2001)
Bioinformatics
, vol.17-5
, pp. 455-460
-
-
Bock, J.R.1
Gough, D.A.2
-
15
-
-
33746761088
-
-
G.H. John, P. Langley, Estimating continuous distributions in Bayesian classifiers, in: Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, 1995, pp. 338- 345.
-
-
-
-
17
-
-
0031269184
-
On the optimality of the simple Bayesian classifier under zero-one loss
-
Domingos P., and Pazzani M. On the optimality of the simple Bayesian classifier under zero-one loss. Mach. Learn. 29 (1997) 103-130
-
(1997)
Mach. Learn.
, vol.29
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
18
-
-
0036088133
-
DIP: The database of interacting proteins. A research tool for studying cellular networks of protein interactions
-
Xenarios I., Salwinski L., Duan X.J., Higney P., Kim S., and Eisenberg D. DIP: The database of interacting proteins. A research tool for studying cellular networks of protein interactions. NAR 30 (2002) 303-305
-
(2002)
NAR
, vol.30
, pp. 303-305
-
-
Xenarios, I.1
Salwinski, L.2
Duan, X.J.3
Higney, P.4
Kim, S.5
Eisenberg, D.6
-
20
-
-
0028332007
-
A role for surface hydrophobicity in protein- protein recognition
-
Young L., Jernigan R.L., and Covell D.G. A role for surface hydrophobicity in protein- protein recognition. Protein Sci. 3 (1994) 717-729
-
(1994)
Protein Sci.
, vol.3
, pp. 717-729
-
-
Young, L.1
Jernigan, R.L.2
Covell, D.G.3
-
21
-
-
0035014847
-
Multi-class protein fold recognition using support vector machines and neural networks
-
Ding H.Q., and Dubchak I. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics 4 17 (2001) 349-358
-
(2001)
Bioinformatics
, vol.4
, Issue.17
, pp. 349-358
-
-
Ding, H.Q.1
Dubchak, I.2
-
22
-
-
2442682027
-
Protein structure and fold prediction using tree-augmented Bayesian classifier
-
Chinnasamy A., Sung W.-K., and Mittal A. Protein structure and fold prediction using tree-augmented Bayesian classifier. Pac. Symp. Biocomput. 6-10 (2004) 387-398
-
(2004)
Pac. Symp. Biocomput.
, vol.6-10
, pp. 387-398
-
-
Chinnasamy, A.1
Sung, W.-K.2
Mittal, A.3
-
23
-
-
22544444234
-
Protein structure and fold prediction using tree-augmented Bayesian classifier
-
Chinnasamy A., Sung W.-K., and Mittal A. Protein structure and fold prediction using tree-augmented Bayesian classifier. J. Bioinformatics Comput. Biol. 3 4 (2005) 803-820
-
(2005)
J. Bioinformatics Comput. Biol.
, vol.3
, Issue.4
, pp. 803-820
-
-
Chinnasamy, A.1
Sung, W.-K.2
Mittal, A.3
-
24
-
-
0035044077
-
Assessment of prediction accuracy of protein function from protein-protein interaction data
-
Hishigaki H., Nakai K., Ono T., Tanigami A., and Takagi T. Assessment of prediction accuracy of protein function from protein-protein interaction data. Yeast 18 (2001) 523-531
-
(2001)
Yeast
, vol.18
, pp. 523-531
-
-
Hishigaki, H.1
Nakai, K.2
Ono, T.3
Tanigami, A.4
Takagi, T.5
-
25
-
-
1542271409
-
Predicting protein function from protein/protein interaction data: a probabilistic approach
-
Letovsky S., and Kasif S. Predicting protein function from protein/protein interaction data: a probabilistic approach. Bioinformatics 19 1 (2003) I197-I204
-
(2003)
Bioinformatics
, vol.19
, Issue.1
-
-
Letovsky, S.1
Kasif, S.2
-
26
-
-
33746699666
-
-
P.S. Bradley, O.L. Mangasarian, Feature selection via concave minimization and SVMS, Proceedings of the International Conference on Machine Learning, 1998, pp. 82-90.
-
-
-
-
27
-
-
33746677564
-
-
J. Weston, S. Mukherjee, O. Chapelle, M. Pontil, V. Vapnik, T. Poggio, Feature selection for SVMs, Adv. Neural Inform. Process. Syst. (2000) 668-674.
-
-
-
-
29
-
-
4644249807
-
Measuring default accurately, credit risk special report
-
Sobehart J., and Keenan S. Measuring default accurately, credit risk special report. Risk 14 (2001) 31-33
-
(2001)
Risk
, vol.14
, pp. 31-33
-
-
Sobehart, J.1
Keenan, S.2
|