-
1
-
-
0034598746
-
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
-
Alizadeh A.A., et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403 (2000) 503-511
-
(2000)
Nature
, vol.403
, pp. 503-511
-
-
Alizadeh, A.A.1
-
2
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
Golub T.R., et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286 (1999) 531-537
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
-
3
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
Alon U., et al. 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 (1999) 6745-6750
-
(1999)
Proc. Natl. Acad. Sci. USA
, vol.96
, pp. 6745-6750
-
-
Alon, U.1
-
4
-
-
0034601455
-
Molecular classification of cutaneous malignant melanoma by gene expression profiling
-
Bittner M., et al. Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature 406 (2000) 536-540
-
(2000)
Nature
, vol.406
, pp. 536-540
-
-
Bittner, M.1
-
5
-
-
0033636139
-
Support vector machine classification and validation of cancer tissue samples using microarray expression data
-
Furey T.S., et al. Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16 (2000) 906-914
-
(2000)
Bioinformatics
, vol.16
, pp. 906-914
-
-
Furey, T.S.1
-
6
-
-
0035923521
-
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
-
Bhattacharjee A., et al. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc. Natl. Acad. Sci. USA 98 (2001) 13790-13795
-
(2001)
Proc. Natl. Acad. Sci. USA
, vol.98
, pp. 13790-13795
-
-
Bhattacharjee, A.1
-
7
-
-
0036183546
-
Artificial neural networks distinguish among subtypes of neoplastic colorectal lesions
-
Selaru F.M., et al. Artificial neural networks distinguish among subtypes of neoplastic colorectal lesions. Gastroenterology 122 (2002) 606-613
-
(2002)
Gastroenterology
, vol.122
, pp. 606-613
-
-
Selaru, F.M.1
-
8
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
van't Veer L.J., et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 415 (2002) 530-536
-
(2002)
Nature
, vol.415
, pp. 530-536
-
-
van't Veer, L.J.1
-
9
-
-
0035949684
-
Predicting the clinical status of human breast cancer by using gene expression profiles
-
West M., et al. Predicting the clinical status of human breast cancer by using gene expression profiles. Proc. Natl. Acad. Sci. USA 98 (2001) 11462-11467
-
(2001)
Proc. Natl. Acad. Sci. USA
, vol.98
, pp. 11462-11467
-
-
West, M.1
-
10
-
-
18244409933
-
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
-
Shipp M.A., et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat. Med. 8 (2000) 68-74
-
(2000)
Nat. Med.
, vol.8
, pp. 68-74
-
-
Shipp, M.A.1
-
11
-
-
0036166439
-
Tumor classification by partial least squares using microarray gene expression data
-
Nguyen D.V., and Rocke D.M. Tumor classification by partial least squares using microarray gene expression data. Bioinformatics 18 (2002) 39-50
-
(2002)
Bioinformatics
, vol.18
, pp. 39-50
-
-
Nguyen, D.V.1
Rocke, D.M.2
-
12
-
-
10244252786
-
Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction
-
Pochet N., et al. Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction. Bioinformatics 20 (2004) 3185-3195
-
(2004)
Bioinformatics
, vol.20
, pp. 3185-3195
-
-
Pochet, N.1
-
13
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumor using gene expression data
-
Dudoit S., et al. Comparison of discrimination methods for the classification of tumor using gene expression data. J. Am. Stat. Assoc. 97 (2002) 77-87
-
(2002)
J. Am. Stat. Assoc.
, vol.97
, pp. 77-87
-
-
Dudoit, S.1
-
14
-
-
0034730140
-
Singular value decomposition for genome-wide expression data processing and modeling
-
Alter O., et al. Singular value decomposition for genome-wide expression data processing and modeling. Proc. Natl. Acad. Sci. USA 97 (2000) 10101-10106
-
(2000)
Proc. Natl. Acad. Sci. USA
, vol.97
, pp. 10101-10106
-
-
Alter, O.1
-
15
-
-
0028416938
-
Independent component analysis-a new concept?
-
Comon P. Independent component analysis-a new concept?. Signal Process. 36 (1994) 287-314
-
(1994)
Signal Process.
, vol.36
, pp. 287-314
-
-
Comon, P.1
-
17
-
-
0032629347
-
Fast and robust fixed-point algorithms for independent component analysis
-
Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 10 (1999) 626-634
-
(1999)
IEEE Trans. Neural Netw.
, vol.10
, pp. 626-634
-
-
Hyvärinen, A.1
-
18
-
-
84952149204
-
A statistical view of some chemometric regression tools
-
Frank I.E., and Friedman J.H. A statistical view of some chemometric regression tools. Technometrics 35 (1993) 109-148
-
(1993)
Technometrics
, vol.35
, pp. 109-148
-
-
Frank, I.E.1
Friedman, J.H.2
-
19
-
-
4544320095
-
Feature selection in the independent component subspace for face recognition
-
Ekenel H.K., and Sankur B. Feature selection in the independent component subspace for face recognition. Pattern Recognit. Lett. 25 (2004) 1377-1388
-
(2004)
Pattern Recognit. Lett.
, vol.25
, pp. 1377-1388
-
-
Ekenel, H.K.1
Sankur, B.2
-
20
-
-
0037381008
-
Gene expression-based classification of malignant gliomas correlates better with survival than histological classification
-
Nutt C.L., et al. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Cancer Res. 63 (2003) 1602-1607
-
(2003)
Cancer Res.
, vol.63
, pp. 1602-1607
-
-
Nutt, C.L.1
-
21
-
-
34548624811
-
MISEP method for postnon-linear blind source separation
-
Zheng C.H., et al. MISEP method for postnon-linear blind source separation. Neural Comput. 19 (2007) 2557-2578
-
(2007)
Neural Comput.
, vol.19
, pp. 2557-2578
-
-
Zheng, C.H.1
-
22
-
-
32544440610
-
Nonnegative independent component analysis based on minimizing mutual information technique
-
Zheng C.H., et al. Nonnegative independent component analysis based on minimizing mutual information technique. Neurocomputing 69 (2006) 878-883
-
(2006)
Neurocomputing
, vol.69
, pp. 878-883
-
-
Zheng, C.H.1
-
23
-
-
0036856989
-
Face recognition by independent component analysis
-
Bartlett M.S., et al. Face recognition by independent component analysis. IEEE Trans. Neural Netw. 13 (2002) 1450-1464
-
(2002)
IEEE Trans. Neural Netw.
, vol.13
, pp. 1450-1464
-
-
Bartlett, M.S.1
-
24
-
-
0033556834
-
Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources
-
Lee T.W., et al. Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources. Neural Comput. 11 (1999) 417-441
-
(1999)
Neural Comput.
, vol.11
, pp. 417-441
-
-
Lee, T.W.1
-
25
-
-
54349103821
-
-
Hori, G., et al. 2001. Blind gene classification based on ICA of microarray data. In Proceedings of the Third International Conference on Independent Component Analysis and Blind Signal Separation, pp.332-336. San Diego, USA.
-
Hori, G., et al. 2001. Blind gene classification based on ICA of microarray data. In Proceedings of the Third International Conference on Independent Component Analysis and Blind Signal Separation, pp.332-336. San Diego, USA.
-
-
-
-
26
-
-
0036166753
-
Linear modes of gene expression determined by independent component analysis
-
Liebermeister W. Linear modes of gene expression determined by independent component analysis. Bioinformatics 18 (2002) 51-60
-
(2002)
Bioinformatics
, vol.18
, pp. 51-60
-
-
Liebermeister, W.1
-
27
-
-
12844264782
-
Blind source separation and the analysis of microarray data
-
Chiappetta P., et al. Blind source separation and the analysis of microarray data. J. Comput. Biol. 11 (2004) 1090-1109
-
(2004)
J. Comput. Biol.
, vol.11
, pp. 1090-1109
-
-
Chiappetta, P.1
-
28
-
-
12244298864
-
A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer
-
Martoglio A.M., et al. A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer. Bioinformatics 18 (2002) 1617-1624
-
(2002)
Bioinformatics
, vol.18
, pp. 1617-1624
-
-
Martoglio, A.M.1
-
29
-
-
85013515810
-
Comparative study of techniques for large-scale feature selection
-
Elsevier Science Inc., New York, USA
-
Ferri F.J., et al. Comparative study of techniques for large-scale feature selection. Pattern Recognition in Practice IV (1994), Elsevier Science Inc., New York, USA 403-413
-
(1994)
Pattern Recognition in Practice IV
, pp. 403-413
-
-
Ferri, F.J.1
-
34
-
-
0034602774
-
Knowledge-based analysis of microarray gene expression data by using support vector machines
-
Brown M., et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc. Natl. Acad. Sci. USA 97 (2000) 262-267
-
(2000)
Proc. Natl. Acad. Sci. USA
, vol.97
, pp. 262-267
-
-
Brown, M.1
-
35
-
-
7544244828
-
Advanced spatial data analysis and modelling with support vector machines
-
Kanevski M., et al. Advanced spatial data analysis and modelling with support vector machines. Int. J. Fuzzy Syst. 4 (2002) 606-615
-
(2002)
Int. J. Fuzzy Syst.
, vol.4
, pp. 606-615
-
-
Kanevski, M.1
-
36
-
-
0032594950
-
Support vector machines for spam categorization
-
Drucker H., et al. Support vector machines for spam categorization. IEEE Trans. Neural Netw. 10 (1999) 1048-1054
-
(1999)
IEEE Trans. Neural Netw.
, vol.10
, pp. 1048-1054
-
-
Drucker, H.1
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