-
1
-
-
0004096392
-
-
Garland, New York
-
Alberts B., Bray D., Johnson A., Lewis J., Raff M., Roberts K., and Walter P. Essential Cell Biology: An Introduction to the Molecular Biology of the Cell (1998), Garland, New York
-
(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
-
-
3242877807
-
Eslpred: Svm-based method for subcellular localization of eukaryotic proteins using dipeptide composition and psi-blast
-
Bhasin M., and Raghava G.P. Eslpred: Svm-based method for subcellular localization of eukaryotic proteins using dipeptide composition and psi-blast. Nucleic Acids Res. 32 (2004) W414-W419
-
(2004)
Nucleic Acids Res.
, vol.32
-
-
Bhasin, M.1
Raghava, G.P.2
-
3
-
-
2442671554
-
Predicting subcellular localization of proteins in a hybridization space
-
Cai Y.D., and Chou K.C. Predicting subcellular localization of proteins in a hybridization space. Bioinformatics 20 (2004) 1151-1156
-
(2004)
Bioinformatics
, vol.20
, pp. 1151-1156
-
-
Cai, Y.D.1
Chou, K.C.2
-
5
-
-
0034697980
-
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
-
Emanuelsson O., Nielsen H., Brunak S., and von Heijne G. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. J. Mol. Biol. 300 (2000) 1005-1016
-
(2000)
J. Mol. Biol.
, vol.300
, pp. 1005-1016
-
-
Emanuelsson, O.1
Nielsen, H.2
Brunak, S.3
von Heijne, G.4
-
6
-
-
0003074296
-
Support vector machines
-
Hearst M.A., Dumais S.T., Osman E., Platt J., and Schölkopf B. Support vector machines. IEEE Intell. Syst. 13 (1998) 18-28
-
(1998)
IEEE Intell. Syst.
, vol.13
, pp. 18-28
-
-
Hearst, M.A.1
Dumais, S.T.2
Osman, E.3
Platt, J.4
Schölkopf, B.5
-
7
-
-
0034843744
-
Support vector machine approach for protein subcellular localization prediction
-
Hua S., and Sun Z. Support vector machine approach for protein subcellular localization prediction. Bioinformatics 17 (2001) 721-728
-
(2001)
Bioinformatics
, vol.17
, pp. 721-728
-
-
Hua, S.1
Sun, Z.2
-
8
-
-
0742287001
-
Combining pairwise sequence similarity and support vector machines for detecting remote protein evolutionary and structural relationships
-
Liao L., and Noble W.S. Combining pairwise sequence similarity and support vector machines for detecting remote protein evolutionary and structural relationships. J. Comput. Biol. 10 (2003) 857-868
-
(2003)
J. Comput. Biol.
, vol.10
, pp. 857-868
-
-
Liao, L.1
Noble, W.S.2
-
9
-
-
1542400030
-
Predicting subcellular localization of proteins using machine-learned classifiers
-
Lu Z., Szafron D., Greiner R., Lu P., Wishart D.S., Poulin B., Anvik J., Macdonell C., and Eisner R. Predicting subcellular localization of proteins using machine-learned classifiers. Bioinformatics 20 (2004) 547-556
-
(2004)
Bioinformatics
, vol.20
, pp. 547-556
-
-
Lu, Z.1
Szafron, D.2
Greiner, R.3
Lu, P.4
Wishart, D.S.5
Poulin, B.6
Anvik, J.7
Macdonell, C.8
Eisner, R.9
-
10
-
-
0016772212
-
Comparison of predicted and observed secondary structure of t4 phase lysozyme
-
Matthews B.W. Comparison of predicted and observed secondary structure of t4 phase lysozyme. Biochim. Biophys. Acta 405 (1975) 442-451
-
(1975)
Biochim. Biophys. Acta
, vol.405
, pp. 442-451
-
-
Matthews, B.W.1
-
11
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Müller K.R., Mika S., Ratsch G., Tsuda K., and Schölkopf B. An introduction to kernel-based learning algorithms. IEEE Trans. Neural Networks 12 (2001) 181-202
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, pp. 181-202
-
-
Müller, K.R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
12
-
-
0014757386
-
A general method applicable to the search for similarities in the amino acid sequence of two proteins
-
Needleman S.B., and Wunsch C.D. A general method applicable to the search for similarities in the amino acid sequence of two proteins. J. Mol. Biol. 48 (1970) 443-453
-
(1970)
J. Mol. Biol.
, vol.48
, pp. 443-453
-
-
Needleman, S.B.1
Wunsch, C.D.2
-
13
-
-
2942618848
-
Prediction of the subcellular localization of eukaryotic proteins using sequence signals and composition
-
Reczko M., and Hatzigerrorgiou A. Prediction of the subcellular localization of eukaryotic proteins using sequence signals and composition. Proteomics 4 (2004) 1591-1596
-
(2004)
Proteomics
, vol.4
, pp. 1591-1596
-
-
Reczko, M.1
Hatzigerrorgiou, A.2
-
14
-
-
0032077533
-
Using neural networks for prediction of the subcellular location of proteins
-
Reinhardt A., and Hubbard T. Using neural networks for prediction of the subcellular location of proteins. Nucleic Acids Res. 26 (1998) 2230-2236
-
(1998)
Nucleic Acids Res.
, vol.26
, pp. 2230-2236
-
-
Reinhardt, A.1
Hubbard, T.2
-
15
-
-
0003408420
-
-
MIT Press, Cambridge
-
Schölkopf B., and Smola A.J. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (2002), MIT Press, Cambridge
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
16
-
-
0019887799
-
Identification of common molecular subsequences
-
Smith T.F., and Waterman M.S. Identification of common molecular subsequences. J. Mol. Biol. 147 (1981) 195-197
-
(1981)
J. Mol. Biol.
, vol.147
, pp. 195-197
-
-
Smith, T.F.1
Waterman, M.S.2
|