-
1
-
-
0004096392
-
-
Garland Science Publishing, London, UK
-
Alberts,B., Bray,D., Johnson,A., Lewis,J., Raff,M., Roberts,K. and Walter,P. (1998) Essential Cell Biology: An Introduction to the Molecular Biology of the Cell. Garland Science Publishing, London, UK.
-
(1998)
Essential Cell Biology: an Introduction to the Molecular Biology of the Cell
-
-
Alberts, B.1
Bray, D.2
Johnson, A.3
Lewis, J.4
Raff, M.5
Roberts, K.6
Walter, P.7
-
2
-
-
0025183708
-
Basic local alignment search tool
-
Altschul,S.F., Gish,W., Miller,W., Myers,E.W. and Lipman,D.J. (1990) Basic local alignment search tool. J. Mol. Biol. 215, 403-410.
-
(1990)
J. Mol. Biol.
, vol.215
, pp. 403-410
-
-
Altschul, S.F.1
Gish, W.2
Miller, W.3
Myers, E.W.4
Lipman, D.J.5
-
3
-
-
0011812771
-
Kernel independent component analysis
-
Bach,F. and Jordan,M.I. (2002) Kernel independent component analysis. J. Mach. Learning Res., 3, 1-48.
-
(2002)
J. Mach. Learning Res.
, vol.3
, pp. 1-48
-
-
Bach, F.1
Jordan, M.I.2
-
5
-
-
0026069154
-
Development of hydrophobicity parameters to analyze proteins which bear post- or cotranslational modifications
-
Black,S.D. and Mould,D.R. (1991) Development of hydrophobicity parameters to analyze proteins which bear post- or cotranslational modifications. Anal. Biochem., 193, 72-82.
-
(1991)
Anal. Biochem.
, vol.193
, pp. 72-82
-
-
Black, S.D.1
Mould, D.R.2
-
6
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
ACM Press, NY
-
Boser,B.E., Guyon,I. and Vapnik,V. (1992) A training algorithm for optimal margin classifiers. Computational Learing Theory ACM Press, NY, pp. 144-152.
-
(1992)
Computational Learing Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.2
Vapnik, V.3
-
7
-
-
0034602774
-
Knowledge-based analysis of microarray gene expression data using support vector machines
-
Brown,M.P.S., Grundy,W.N., Lin,D., Cristianini,N., Sugnet,C., Furey,T.S., Ares,J.M. and Haussler,D. (2000) Knowledge-based analysis of microarray gene expression data using support vector machines. Proc. Natl Acad. Sci. USA, 97, 262-267.
-
(2000)
Proc. Natl. Acad. Sci. USA
, vol.97
, pp. 262-267
-
-
Brown, M.P.S.1
Grundy, W.N.2
Lin, D.3
Cristianini, N.4
Sugnet, C.5
Furey, T.S.6
Ares, J.M.7
Haussler, D.8
-
8
-
-
0001911218
-
State-of-the-art in membrane protein prediction
-
Chen,C. and Rost,B. (2002) State-of-the-art in membrane protein prediction. Appl. Bioinform., 1, 21-35.
-
(2002)
Appl. Bioinform.
, vol.1
, pp. 21-35
-
-
Chen, C.1
Rost, B.2
-
10
-
-
0022510143
-
Identifying nonpolar transbilayer helices in amino acid sequences of membrane proteins
-
Engleman,D.M., Steitz,T.A. and Goldman,A. (1986) Identifying nonpolar transbilayer helices in amino acid sequences of membrane proteins. Ann. Rev. Biophys. Biophys. Chem., 15, 321-353.
-
(1986)
Ann. Rev. Biophys. Biophys. Chem.
, vol.15
, pp. 321-353
-
-
Engleman, D.M.1
Steitz, T.A.2
Goldman, A.3
-
11
-
-
0041494125
-
Efficient SVM training using low-rank kernel representations
-
Fine,S. and Scheinberg,K. (2001) Efficient SVM training using low-rank kernel representations. J. Mach. Learning Res., 2, 243-264.
-
(2001)
J. Mach. Learning Res.
, vol.2
, pp. 243-264
-
-
Fine, S.1
Scheinberg, K.2
-
12
-
-
0001969211
-
Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching
-
Gribskov,M. and Robinson,N.L. (1996) Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching. Comput. Chem., 20, 25-33.
-
(1996)
Comput. Chem.
, vol.20
, pp. 25-33
-
-
Gribskov, M.1
Robinson, N.L.2
-
13
-
-
0024462319
-
cDNA sequence coding for a translationally controlled human tumor protein
-
Gross,G., Gaestel,M., Bohm,H. and Bielka,H. (1989) cDNA sequence coding for a translationally controlled human tumor protein. Nucleic Acids Res., 17, 8367.
-
(1989)
Nucleic Acids Res.
, vol.17
, pp. 8367
-
-
Gross, G.1
Gaestel, M.2
Bohm, H.3
Bielka, H.4
-
14
-
-
0020083498
-
The meaning and use of the area under a receiver operating characteristic (ROC) curve
-
Hanley,J.A. and McNeil,B.J. (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143, 29-36.
-
(1982)
Radiology
, vol.143
, pp. 29-36
-
-
Hanley, J.A.1
McNeil, B.J.2
-
15
-
-
0035977093
-
High resolution structure of the large ribosomal subunit from a meshophilic eubacterium
-
Harms,J., Schluenzen,F., Zarivach,R., Bashan,A., Gat,S., Agmon,I., Bartels,H., Franceschi,F. and Yonath,A. (2001) High resolution structure of the large ribosomal subunit from a meshophilic eubacterium. Cell, 107, 679-688.
-
(2001)
Cell
, vol.107
, pp. 679-688
-
-
Harms, J.1
Schluenzen, F.2
Zarivach, R.3
Bashan, A.4
Gat, S.5
Agmon, I.6
Bartels, H.7
Franceschi, F.8
Yonath, A.9
-
16
-
-
0000448982
-
Prediction of protein antigenic determinants from amino acid sequences
-
Hopp,T.P. and Woods,K.R. (1981) Prediction of protein antigenic determinants from amino acid sequences. Proc. Natl Acad. Sci., USA, 78, 3824-3828.
-
(1981)
Proc. Natl. Acad. Sci. USA
, vol.78
, pp. 3824-3828
-
-
Hopp, T.P.1
Woods, K.R.2
-
17
-
-
0041775676
-
Diffusion kernels on graphs and other discrete input spaces
-
Sammut,C. and Hoffmann,A. (eds), Morgan Kaufmann, San Francisco, CA
-
Kondor,R.I. and Lafferty,J. (2002) Diffusion kernels on graphs and other discrete input spaces. In Sammut,C. and Hoffmann,A. (eds), Proceedings of the International Conference on Machine Learning Morgan Kaufmann, San Francisco, CA, pp. 315-322.
-
(2002)
Proceedings of the International Conference on Machine Learning
, pp. 315-322
-
-
Kondor, R.I.1
Lafferty, J.2
-
18
-
-
0035910270
-
Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes
-
Krogh,A., Larsson,B., von Heijne,G. and Sonnhammer,E.L.L. (2001) Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes. J. Mol. Biol., 305, 567-580.
-
(2001)
J. Mol. Biol.
, vol.305
, pp. 567-580
-
-
Krogh, A.1
Larsson, B.2
von Heijne, G.3
Sonnhammer, E.L.L.4
-
19
-
-
0020475449
-
A simple method for displaying the hydropathic character of a protein
-
Kyte,J. and Doolittle,R.F. (1982) A simple method for displaying the hydropathic character of a protein. J. Mol. Biol., 157, 105-132.
-
(1982)
J. Mol. Biol.
, vol.157
, pp. 105-132
-
-
Kyte, J.1
Doolittle, R.F.2
-
20
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
Lanckriet,G.R.G., Cristianini,N., Bartlett,P., El Ghaoui,L. and Jordan,M.I. (2004) Learning the kernel matrix with semidefinite programming. J. Mach. Learning Res., 5, 27-72.
-
(2004)
J. Mach. Learning Res.
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.2
Bartlett, P.3
El Ghaoui, L.4
Jordan, M.I.5
-
22
-
-
0033983822
-
MIPS: A database for genomes and protein sequences
-
Mewes,H.W., Frishman,D., Gruber,C., Geier,B., Haase,D., Kaps,A., Lemcke,K., Mannhaupt,G., Pfeiffer,F., Schüller,C., Stocker,S. and Weil,B. (2000) MIPS: a database for genomes and protein sequences. Nucleic Acids Res., 28, 37-40.
-
(2000)
Nucleic Acids Res.
, vol.28
, pp. 37-40
-
-
Mewes, H.W.1
Frishman, D.2
Gruber, C.3
Geier, B.4
Haase, D.5
Kaps, A.6
Lemcke, K.7
Mannhaupt, G.8
Pfeiffer, F.9
Schüller, C.10
Stocker, S.11
Weil, B.12
-
24
-
-
1542559402
-
Support vector machine applications in computational biology
-
Schoekkopf,B., Tsuda,K. and Vert,J.-P. (eds), MIT Press, Cambridge, MA
-
Noble,W.S. (2004) Support vector machine applications in computational biology. In Schoekkopf,B., Tsuda,K. and Vert,J.-P. (eds), Kernel Methods in Computational Biology, MIT Press, Cambridge, MA, pp. 71-92.
-
(2004)
Kernel Methods in Computational Biology
, pp. 71-92
-
-
Noble, W.S.1
-
25
-
-
0034268836
-
Structure of functionally activated small ribosomal subunit at 3.3 Å resolution
-
Schluenzen, F., Tocilj,A., Zarivach,R., Harms,J., Gluehmann,M., Janell,D. Bashan,A., Bartels,H., Agmon,I., Franceschi,F. and Yonath,A. (2000) Structure of functionally activated small ribosomal subunit at 3.3 Å resolution. Cell, 102, 615-623.
-
(2000)
Cell
, vol.102
, pp. 615-623
-
-
Schluenzen, F.1
Tocilj, A.2
Zarivach, R.3
Harms, J.4
Gluehmann, M.5
Janell, D.6
Bashan, A.7
Bartels, H.8
Agmon, I.9
Franceschi, F.10
Yonath, A.11
-
27
-
-
0019887799
-
Identification of common molecular subsequences
-
Smith,T.F. and Waterman,M.S. (1981) Identification of common molecular subsequences. J. Mol. Biol., 147, 195-197.
-
(1981)
J. Mol. Biol.
, vol.147
, pp. 195-197
-
-
Smith, T.F.1
Waterman, M.S.2
-
28
-
-
0030925920
-
Pfam: A comprehensive database of protein domain families based on seed alignments
-
Sonnhammer,E., Eddy,S. and Durbin,R. (1997) Pfam: a comprehensive database of protein domain families based on seed alignments. Proteins, 28, 405-420.
-
(1997)
Proteins
, vol.28
, pp. 405-420
-
-
Sonnhammer, E.1
Eddy, S.2
Durbin, R.3
-
29
-
-
0142032204
-
Support vector classification with asymmetric kernel function
-
Verleysen,M. (ed.)
-
Tsuda,K. (1999) Support vector classification with asymmetric kernel function. In Verleysen,M. (ed.), Proceedings ESANN, pp. 183-188.
-
(1999)
Proceedings ESANN
, pp. 183-188
-
-
Tsuda, K.1
-
30
-
-
0030106462
-
Semidefinite programming
-
Vandenberghe,L. and Boyd,S. (1996) Semidefinite programming. SIAM Rev., 38, 49-95.
-
(1996)
SIAM Rev.
, vol.38
, pp. 49-95
-
-
Vandenberghe, L.1
Boyd, S.2
-
33
-
-
84899021874
-
Graph-driven features extraction from microarray data using diffusion kernels and kernel CCA
-
Becker,S., Thrun,S. and Obermayer,K. (eds), MIT Press, Cambridge, MA
-
Vert,J.-P. and Kanehisa,M. (2003) Graph-driven features extraction from microarray data using diffusion kernels and kernel CCA. In Becker,S., Thrun,S. and Obermayer,K. (eds), Advances in Neural Information Processing Systems 15, MIT Press, Cambridge, MA, pp. 1425-1432.
-
(2003)
Advances in Neural Information Processing Systems 15
, pp. 1425-1432
-
-
Vert, J.-P.1
Kanehisa, M.2
-
34
-
-
0037161731
-
Comparative assessment of large-scale datasets of protein-protein interactions
-
von Mering,C., Krause,R., Snel,B., Cornell,M., Olivier,S.G., Fields,S. and Bork,P. (2002) Comparative assessment of large-scale datasets of protein-protein interactions. Nature, 417, 399-403.
-
(2002)
Nature
, vol.417
, pp. 399-403
-
-
von Mering, C.1
Krause, R.2
Snel, B.3
Cornell, M.4
Olivier, S.G.5
Fields, S.6
Bork, P.7
-
36
-
-
0039722607
-
Effect of the input density distribution on kernel-based classifiers
-
Langley,P. (ed.), Morgan Kaufmann, San Francisco, CA
-
Williams,C.K.I. and Seeger,M. (2000) Effect of the input density distribution on kernel-based classifiers. In Langley,P. (ed.), Proceedings of Seventeenth International Conference on Machine Learning (ICML 2000). Morgan Kaufmann, San Francisco, CA.
-
(2000)
Proceedings of Seventeenth International Conference on Machine Learning (ICML 2000)
-
-
Williams, C.K.I.1
Seeger, M.2
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