-
2
-
-
0034284978
-
Identification of efficiently cleaved substrates for HIV-1 protease using a phage display library and use in inhibitor development
-
Beck Z.Q., Hervio L., Dawson P.E., Elder J.E., and Madison E.L. Identification of efficiently cleaved substrates for HIV-1 protease using a phage display library and use in inhibitor development. Virology (2000)
-
(2000)
Virology
-
-
Beck, Z.Q.1
Hervio, L.2
Dawson, P.E.3
Elder, J.E.4
Madison, E.L.5
-
3
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Machine Learn. (1996) 123-140
-
(1996)
Machine Learn.
, pp. 123-140
-
-
Breiman, L.1
-
4
-
-
0032017815
-
Artificial neural network model for predicting HIV protease cleavage sites in protein
-
Cai Y.D., and Chou K.C. Artificial neural network model for predicting HIV protease cleavage sites in protein. Adv. Eng. Software 29 (1998) 119-128
-
(1998)
Adv. Eng. Software
, vol.29
, pp. 119-128
-
-
Cai, Y.D.1
Chou, K.C.2
-
5
-
-
0034452415
-
Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins
-
Cai Y.D., Liu X.J., Xu X.B., and Chou K.C. Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins. Mol. Cell. Biol. Res. Commun. 4 (2000) 172-173
-
(2000)
Mol. Cell. Biol. Res. Commun.
, vol.4
, pp. 172-173
-
-
Cai, Y.D.1
Liu, X.J.2
Xu, X.B.3
Chou, K.C.4
-
7
-
-
33846051960
-
-
Duda, R., Hart, P., Stork, D., 2001. Pattern Classification.
-
-
-
-
8
-
-
0031887946
-
Wanted: Subcellular localization of proteins based on sequence
-
Eisenhaber F., and Bork P. Wanted: Subcellular localization of proteins based on sequence. Trans. Cell Biol. 8 (1998) 169-170
-
(1998)
Trans. Cell Biol.
, vol.8
, pp. 169-170
-
-
Eisenhaber, F.1
Bork, P.2
-
9
-
-
19044391072
-
Gene expression correlates of clinical prostate cancer behavior
-
Gordon G.J., Jensen R.V., Hsiao L., Gullans S.R., Blumenstock J.E., Ramaswamy S., Richards W.G., Sugarbaker D.J., and Bueno R. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1 (2002) 203-209
-
(2002)
Cancer Cell
, vol.1
, pp. 203-209
-
-
Gordon, G.J.1
Jensen, R.V.2
Hsiao, L.3
Gullans, S.R.4
Blumenstock, J.E.5
Ramaswamy, S.6
Richards, W.G.7
Sugarbaker, D.J.8
Bueno, R.9
-
10
-
-
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 (2001) 721-728
-
(2001)
Bioinformatics
, pp. 721-728
-
-
Hua, S.1
Sun, Z.2
-
11
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
Khan J., Wei J.S., Ringner M., Saal L.H., Ladanyi M., Westermann F., Berthold F., Schwab M., Antonescu C.R., Peterson C., and Meltzer P.S. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Med. 7 (2001) 673-679
-
(2001)
Nature Med.
, vol.7
, pp. 673-679
-
-
Khan, J.1
Wei, J.S.2
Ringner, 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
-
12
-
-
24144490154
-
Diversity in multiple classifier systems
-
Kuncheva L.I. Diversity in multiple classifier systems. Inf. Fusion 6 (2005) 3-4
-
(2005)
Inf. Fusion
, vol.6
, pp. 3-4
-
-
Kuncheva, L.I.1
-
13
-
-
13244252329
-
A combinational feature selection and ensemble neural network method for classification of gene expression data
-
Liu B., Cui Q., Jiang T., and Ma S. A combinational feature selection and ensemble neural network method for classification of gene expression data. BMC Bioinformatics 5 (2004) 136
-
(2004)
BMC Bioinformatics
, vol.5
, pp. 136
-
-
Liu, B.1
Cui, Q.2
Jiang, T.3
Ma, S.4
-
14
-
-
0006555630
-
Algorithms for splicing junction donor recognition in genomic DNA sequences
-
Maisheng Y., and Wang J. Algorithms for splicing junction donor recognition in genomic DNA sequences. IEEE Internat. Joint Symp. Intell. Systems (1998) 169-176
-
(1998)
IEEE Internat. Joint Symp. Intell. Systems
, pp. 169-176
-
-
Maisheng, Y.1
Wang, J.2
-
17
-
-
0142192759
-
Neural network analysis of lymphoma microarray data: Prognosis and diagnosis near-perfect
-
O'Neill M.C., and Song L. Neural network analysis of lymphoma microarray data: Prognosis and diagnosis near-perfect. BMC Bioinformatics 4 (2003) 13
-
(2003)
BMC Bioinformatics
, vol.4
, pp. 13
-
-
O'Neill, M.C.1
Song, L.2
-
18
-
-
0037116832
-
Use of proteomic patterns in serum to identify ovarian cancer
-
Petricoin III E.F., Ardekani A.M., Hitt B.A., Levine P.J., Fusaro V.A., Steinberg S.M., Mills G.B., Simone C., Fishman D.A., Kohn E.C., and Liotta L.A. Use of proteomic patterns in serum to identify ovarian cancer. The Lancet 359 (2002) 572-577
-
(2002)
The Lancet
, vol.359
, pp. 572-577
-
-
Petricoin III, E.F.1
Ardekani, A.M.2
Hitt, B.A.3
Levine, P.J.4
Fusaro, V.A.5
Steinberg, S.M.6
Mills, G.B.7
Simone, C.8
Fishman, D.A.9
Kohn, E.C.10
Liotta, L.A.11
-
19
-
-
0031788605
-
Recognition of splice junctions on DNA sequences by BRAIN learning algorithm
-
Rampone S. Recognition of splice junctions on DNA sequences by BRAIN learning algorithm. Bioinformatics 14 8 (1998) 676-684
-
(1998)
Bioinformatics
, vol.14
, Issue.8
, pp. 676-684
-
-
Rampone, S.1
-
20
-
-
4444262024
-
Why neural networks should not be used for HIV-1 protease cleavage site prediction
-
Rögnvaldsson T., and You L. Why neural networks should not be used for HIV-1 protease cleavage site prediction. Bioinformatics (2003) 1702-1709
-
(2003)
Bioinformatics
, pp. 1702-1709
-
-
Rögnvaldsson, T.1
You, L.2
-
21
-
-
0036735386
-
Translation of microarray data into clinically relevant cancer diagnostic tests using Gege expression ratios in lung cancer and mesothelioma
-
Singh D., Febbo P.G., Ross K., Jackson D.G., Manola J., Ladd C., Tamayo P., Renshaw A.A., D'Amico A.V., Richie J.P., Lander E.S., Loda M., Kantoff P.W., Golub T.R., and Sellers W.R. Translation of microarray data into clinically relevant cancer diagnostic tests using Gege expression ratios in lung cancer and mesothelioma. Cancer Res. 62 (2002) 4963-4967
-
(2002)
Cancer Res.
, vol.62
, pp. 4963-4967
-
-
Singh, D.1
Febbo, P.G.2
Ross, K.3
Jackson, D.G.4
Manola, J.5
Ladd, C.6
Tamayo, P.7
Renshaw, A.A.8
D'Amico, A.V.9
Richie, J.P.10
Lander, E.S.11
Loda, M.12
Kantoff, P.W.13
Golub, T.R.14
Sellers, W.R.15
-
22
-
-
2942596534
-
Ensemble machine learning on gene expression data for cancer classification
-
Tan A.C., and Gilbert D. Ensemble machine learning on gene expression data for cancer classification. Appl. Bioinf. 2 (2003) S75-S83
-
(2003)
Appl. Bioinf.
, vol.2
-
-
Tan, A.C.1
Gilbert, D.2
-
23
-
-
33846099635
-
-
Tan, A.C., Gilbert, D., 2003b. An empirical comparison of supervised machine learning techniques in bioinformatics, in: Proceedings of the First Asia Pacific Bioinformatics Conference, vol. 19, pp. 219-222.
-
-
-
-
24
-
-
0027092799
-
PROCANS: Protein classification artificial neural system
-
Wu C.H., Whitson G., McLarty J., Ermongkonchai A., and Change T.C. PROCANS: Protein classification artificial neural system. Protein Sci. (1992) 667-677
-
(1992)
Protein Sci.
, pp. 667-677
-
-
Wu, C.H.1
Whitson, G.2
McLarty, J.3
Ermongkonchai, A.4
Change, T.C.5
-
25
-
-
0032938624
-
Prediction of protein subcellular locations using Markov chain models
-
Yuan Z. Prediction of protein subcellular locations using Markov chain models. FEBS Lett. 14 (1999) 23-26
-
(1999)
FEBS Lett.
, vol.14
, pp. 23-26
-
-
Yuan, Z.1
-
26
-
-
0001218846
-
On the association of attributes in statistics
-
Yule G.U. On the association of attributes in statistics. Philos. Trans. A 194 (1900) 257-319
-
(1900)
Philos. Trans. A
, vol.194
, pp. 257-319
-
-
Yule, G.U.1
|