-
1
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
Alon, U. et al. (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Natl Acad. Sci. USA, 96, 6745-6750.
-
(1999)
Proc. Natl Acad. Sci. USA
, vol.96
, pp. 6745-6750
-
-
Alon, U.1
-
2
-
-
84877758755
-
Decontamination of training samples for supervised pattern recognition methods
-
Springer, Berlin Heidelberg
-
Barandela, R. and Gasca, E. (2000) Decontamination of training samples for supervised pattern recognition methods. In: Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 1876. Springer, Berlin Heidelberg, pp. 621-630.
-
(2000)
Advances in Pattern Recognition, Lecture Notes in Computer Science
, vol.1876
, pp. 621-630
-
-
Barandela, R.1
Gasca, E.2
-
3
-
-
84866857513
-
Label-noise robust logistic regression and its applications
-
Bootkrajang, J. andKabá n, A. (2012) Label-noise robust logistic regression and its applications. In: Proceeding of Machine Learning and Knowledge Discovery in Databases - European Conference, ECML-PKDD 2012, Part I, pp. 143-158.
-
(2012)
Proceeding of Machine Learning and Knowledge Discovery in Databases - European Conference, ECML-PKDD 2012, Part i
, pp. 143-158
-
-
Bootkrajang, J.1
Kabá, N.A.2
-
5
-
-
33750012146
-
Gene selection in cancer classification using sparse logistic regression with Bayesian regularization
-
Cawley, G.C. and Talbot, N.L. (2006) Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. Bioinformatics, 22, 2348-2355.
-
(2006)
Bioinformatics
, vol.22
, pp. 2348-2355
-
-
Cawley, G.C.1
Talbot, N.L.2
-
6
-
-
0011210217
-
Linear discriminant analysis with misallocation in training samples
-
Chhikara, R.S. and McKeon, J. (1984) Linear discriminant analysis with misallocation in training samples. J. Am. Stat. Assoc., 79, 899-906.
-
(1984)
J. Am. Stat. Assoc.
, vol.79
, pp. 899-906
-
-
Chhikara, R.S.1
McKeon, J.2
-
7
-
-
0033636139
-
Support vector machine classification and validation of cancer tissue samples using microarray expression data
-
Furey, T.S. et al. (2000) Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics, 16, 906-914.
-
(2000)
Bioinformatics
, vol.16
, pp. 906-914
-
-
Furey, T.S.1
-
8
-
-
35048842249
-
Editing training data for k-NN classifiers with neural network ensemble
-
Springer
-
Jiang, Y. and Zhou, Z.H. (2004) Editing training data for k-NN classifiers with neural network ensemble. In: Advances in Neural Networks, Lecture Notes in Computer Science, Vol. 3173. Springer, pp. 356-361.
-
(2004)
Advances in Neural Networks, Lecture Notes in Computer Science
, vol.3173
, pp. 356-361
-
-
Jiang, Y.1
Zhou, Z.H.2
-
9
-
-
33748703576
-
Detecting outlying samples in microarray data: A critical assessment of the effect of outliers on sample classification
-
Kadota, K. et al. (2003) Detecting outlying samples in microarray data: a critical assessment of the effect of outliers on sample classification. Chem. Bio. Inform. J., 3, 30-45.
-
(2003)
Chem. Bio. Inform. J.
, vol.3
, pp. 30-45
-
-
Kadota, K.1
-
10
-
-
0025572815
-
Efficiency of discriminant analysis when initial samples are classified stochastically
-
Krishnan, T. and Nandy, S.C. (1990) Efficiency of discriminant analysis when initial samples are classified stochastically. Pattern Recognit., 23, 529-537.
-
(1990)
Pattern Recognit
, vol.23
, pp. 529-537
-
-
Krishnan, T.1
Nandy, S.C.2
-
11
-
-
0016093646
-
Discriminant analysis when the initial samples are misclassified II: Non-random misclassification models
-
Lachenbruch, P.A. (1974) Discriminant analysis when the initial samples are misclassified II: non-random misclassification models. Technometrics, 16, 419-424.
-
(1974)
Technometrics
, vol.16
, pp. 419-424
-
-
Lachenbruch, P.A.1
-
13
-
-
0035664710
-
Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method
-
Li, L. et al. (2001) Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method. Comb. Chem. High Throughput Screen., 4, 727-739.
-
(2001)
Comb. Chem. High Throughput Screen.
, vol.4
, pp. 727-739
-
-
Li, L.1
-
14
-
-
0026712043
-
Learning with an unreliable teacher
-
Lugosi, G. (1992) Learning with an unreliable teacher. Pattern Recognit, 25, 79-87.
-
(1992)
Pattern Recognit
, vol.25
, pp. 79-87
-
-
Lugosi, G.1
-
15
-
-
0001441372
-
Probable networks and plausible predictions - A review of practical Bayesian methods for supervised neural networks
-
MacKay, D.J. (1995) Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks. Network, 6, 469-505.
-
(1995)
Network
, vol.6
, pp. 469-505
-
-
MacKay, D.J.1
-
17
-
-
33748659204
-
Detecting potential labeling errors in microarrays by data perturbation
-
Malossini, A. et al. (2006) Detecting potential labeling errors in microarrays by data perturbation. Bioinformatics, 22, 2114-2121.
-
(2006)
Bioinformatics
, vol.22
, pp. 2114-2121
-
-
Malossini, A.1
-
18
-
-
0347762679
-
Identifying and handling mislabelled instances
-
Muhlenbach, F. et al. (2004) Identifying and handling mislabelled instances. J. Intell. Inf. Syst., 22, 89-109.
-
(2004)
J. Intell. Inf. Syst.
, vol.22
, pp. 89-109
-
-
Muhlenbach, F.1
-
20
-
-
0347895067
-
Analysis of new techniques to obtain quality training sets
-
Sa'nchez, J.S. et al. (2003) Analysis of new techniques to obtain quality training sets. Pattern Recognit. Lett., 24, 1015-1022.
-
(2003)
Pattern Recognit. Lett
, vol.24
, pp. 1015-1022
-
-
Sa'Nchez, J.S.1
-
21
-
-
0345327592
-
A simple and efficient algorithm for gene selection using sparse logistic regression
-
Shevade, S.K. and Keerthi, S.S. (2003) A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics, 19, 2246-2253.
-
(2003)
Bioinformatics
, vol.19
, pp. 2246-2253
-
-
Shevade, S.K.1
Keerthi, S.S.2
-
22
-
-
0035949684
-
Predicting the clinical status of human breast cancer by using gene expression profiles
-
West, M. et al. (2001) Predicting the clinical status of human breast cancer by using gene expr8ession profiles. Proc. Natl Acad. Sci. USA, 98, 11462-11467.
-
(2001)
Proc. Natl Acad. Sci. USA
, vol.98
, pp. 11462-11467
-
-
West, M.1
-
24
-
-
1642306201
-
Partially supervised learning using an EM-boosting algorithm
-
Yasui, Y. et al. (2004) Partially supervised learning using an EM-boosting algorithm. Biometrics, 60, 199-206.
-
(2004)
Biometrics
, vol.60
, pp. 199-206
-
-
Yasui, Y.1
-
25
-
-
70349980159
-
Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model
-
Zhang, C. et al. (2009) Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model. Bioinformatics, 25, 2708-2714.
-
(2009)
Bioinformatics
, vol.25
, pp. 2708-2714
-
-
Zhang, C.1
|