-
1
-
-
0025725905
-
Instance-based learning algorithms
-
Aha D., and Kibler D. Instance-based learning algorithms. Machine Learning 6 (1991) 37-66
-
(1991)
Machine Learning
, vol.6
, pp. 37-66
-
-
Aha, D.1
Kibler, D.2
-
2
-
-
0033954256
-
The protein data bank
-
based on data obtained in Oct 2006 at the
-
Berman H.M., Westbrook J., Feng Z., Gilliland G., Bhat T.N., Weissig H., Shindyalov I.N., and Bourne P.E. The protein data bank. Nucleic Acids Research 28 (2000) 235-242. http://www.rcsb.org/pdb/static.do?p=general_information/pdb_statistics/index.html based on data obtained in Oct 2006 at the
-
(2000)
Nucleic Acids Research
, vol.28
, pp. 235-242
-
-
Berman, H.M.1
Westbrook, J.2
Feng, Z.3
Gilliland, G.4
Bhat, T.N.5
Weissig, H.6
Shindyalov, I.N.7
Bourne, P.E.8
-
3
-
-
33750475941
-
Using pseudo-amino acid composition and support vector machine to predict protein structural class
-
Chen C., Tian Y.X., Zou X.Y., Cai P.X., and Mo J.Y. Using pseudo-amino acid composition and support vector machine to predict protein structural class. Journal of Theoretical Biology 243 3 (2006) 444-448
-
(2006)
Journal of Theoretical Biology
, vol.243
, Issue.3
, pp. 444-448
-
-
Chen, C.1
Tian, Y.X.2
Zou, X.Y.3
Cai, P.X.4
Mo, J.Y.5
-
4
-
-
50249131846
-
-
K. Chen, L. Kurgan, J. Ruan, Optimization of the sliding window size for protein structure prediction, in: Proceedings of the 2006 International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2006), 2006, pp. 366-372.
-
-
-
-
5
-
-
33847280792
-
-
M. Hall, Correlation based feature selection for machine learning, Ph.D. dissertation, University of Waikato, Dept of Computer Science, 1999.
-
-
-
-
6
-
-
33847313107
-
-
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.
-
-
-
-
9
-
-
33748415440
-
Prediction of structural classes for protein sequences and domains-impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy
-
Kurgan L., and Homaeian L. Prediction of structural classes for protein sequences and domains-impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy. Pattern Recognition, special issue on Bioinformatics 39 12 (2006) 2323-2343
-
(2006)
Pattern Recognition, special issue on Bioinformatics
, vol.39
, Issue.12
, pp. 2323-2343
-
-
Kurgan, L.1
Homaeian, L.2
-
10
-
-
0000521473
-
Ridge estimators in logistic regression
-
Le C.S., and Houwelingen J.C. Ridge estimators in logistic regression. Applied Statistics 41 (1992) 191-201
-
(1992)
Applied Statistics
, vol.41
, pp. 191-201
-
-
Le, C.S.1
Houwelingen, J.C.2
-
11
-
-
0036169928
-
Tolerating some redundancy significantly speeds up clustering of large protein databases
-
Li W., Jaroszewski L., and Godzik A. Tolerating some redundancy significantly speeds up clustering of large protein databases. Bioinformatics 18 (2002) 77-82
-
(2002)
Bioinformatics
, vol.18
, pp. 77-82
-
-
Li, W.1
Jaroszewski, L.2
Godzik, A.3
-
12
-
-
1842859046
-
Kurt Wuthrich and NMR of biological macromolecules
-
Palmer A.G., and Patel D.J. Kurt Wuthrich and NMR of biological macromolecules. Structure 10 12 (2002) 1603-1604
-
(2002)
Structure
, vol.10
, Issue.12
, pp. 1603-1604
-
-
Palmer, A.G.1
Patel, D.J.2
-
13
-
-
0012277393
-
New techniques in fast time-resolved structure determination
-
Perman B., Anderson S., Schmidt M., and Moffat K. New techniques in fast time-resolved structure determination. Cellular and Molecular Biology 46 5 (2000) 895-913
-
(2000)
Cellular and Molecular Biology
, vol.46
, Issue.5
, pp. 895-913
-
-
Perman, B.1
Anderson, S.2
Schmidt, M.3
Moffat, K.4
-
15
-
-
22144487766
-
Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types
-
Shen H., and Chou K.-C. Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types. Biochemical and Biophysical Research Communications 334 1 (2005) 288-292
-
(2005)
Biochemical and Biophysical Research Communications
, vol.334
, Issue.1
, pp. 288-292
-
-
Shen, H.1
Chou, K.-C.2
-
16
-
-
30144445696
-
Will my protein crystallize? A sequence-based predictor
-
Smialowski P., Schmidt T., Cox J., Kirschner A., and Frishman D. Will my protein crystallize? A sequence-based predictor. Proteins 62 2 (2006) 343-355
-
(2006)
Proteins
, vol.62
, Issue.2
, pp. 343-355
-
-
Smialowski, P.1
Schmidt, T.2
Cox, J.3
Kirschner, A.4
Frishman, D.5
-
18
-
-
0037349452
-
Structural proteomics: toward high-throughput structural biology as a tool in functional genomics
-
Yee A., Pardee K., Christendat D., Savchenko A., Edwards A.M., and Arrowsmith C.H. Structural proteomics: toward high-throughput structural biology as a tool in functional genomics. Accounts of Chemical Research 36 (2003) 183-189
-
(2003)
Accounts of Chemical Research
, vol.36
, pp. 183-189
-
-
Yee, A.1
Pardee, K.2
Christendat, D.3
Savchenko, A.4
Edwards, A.M.5
Arrowsmith, C.H.6
-
19
-
-
27644490770
-
Better prediction of protein contact number using a support vector regression analysis of amino acid sequence
-
Yuan Z. Better prediction of protein contact number using a support vector regression analysis of amino acid sequence. BMC Bioinformatics 6 (2005) 248
-
(2005)
BMC Bioinformatics
, vol.6
, pp. 248
-
-
Yuan, Z.1
|