-
1
-
-
33746901239
-
The use of artificial neural networks in decision support in cancer: A systematic review
-
P. J. G. Lisboa, A. F. G. Taktak, "The use of artificial neural networks in decision support in cancer: A systematic review," Neural Netw., vol.19, pp. 408-415, 2006.
-
(2006)
Neural Netw.
, vol.19
, pp. 408-415
-
-
Lisboa, P.J.G.1
Taktak, A.F.G.2
-
2
-
-
44349191457
-
Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing
-
P. J. Campbell, et al., "Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing," Nature Genetics, vol.40, pp. 722-729, 2008.
-
(2008)
Nature Genetics
, vol.40
, pp. 722-729
-
-
Campbell, P.J.1
-
3
-
-
33846606051
-
Clustering methods for microarray gene expression data
-
N. Belacel, Q. C. Wang, and M. Cuperlovic-Culf, "Clustering methods for microarray gene expression data," Omics, vol.10, no.4, pp. 507-531, 2006.
-
(2006)
Omics
, vol.10
, Issue.4
, pp. 507-531
-
-
Belacel, N.1
Wang, Q.C.2
Cuperlovic-Culf, M.3
-
4
-
-
13844276694
-
Cluster analysis for gene expression data: A survey
-
D. Jiang, C. Tang, and A. Zhang, "Cluster analysis for gene expression data: A survey," IEEE Trans. Knowledge Data Eng., vol.16, no.11, pp. 1370-1386, 2004.
-
(2004)
IEEE Trans. Knowledge Data Eng.
, vol.16
, Issue.11
, pp. 1370-1386
-
-
Jiang, D.1
Tang, C.2
Zhang, A.3
-
6
-
-
55549116015
-
Hierarchical clustering of massive, high dimensional data sets by exploiting ultrametric embedding
-
F. Murtagh, G. Downs, and P. Contreras, "Hierarchical clustering of massive, high dimensional data sets by exploiting ultrametric embedding," SIAM J. Sci. Comput., vol.30, pp. 707-730, 2008.
-
(2008)
SIAM J. Sci. Comput.
, vol.30
, pp. 707-730
-
-
Murtagh, F.1
Downs, G.2
Contreras, P.3
-
7
-
-
3142768191
-
Biclustering algorithms for biological data analysis: A survey
-
S. C. Madeira and A. L. Oliveira, "Biclustering algorithms for biological data analysis: A survey," IEEE/ ACM Trans. Computat. Biol. Bioinform., vol.1, no.1, pp. 24-45, 2004.
-
(2004)
IEEE/ ACM Trans. Computat. Biol. Bioinform.
, vol.1
, Issue.1
, pp. 24-45
-
-
Madeira, S.C.1
Oliveira, A.L.2
-
8
-
-
33845451957
-
Identification of prognostic signatures in breast cancer microarray data using Bayesian techniques
-
L. Carrivick, et al., Identification of prognostic signatures in breast cancer microarray data using Bayesian techniques," J. R. Soc. Interface, vol. 3, no. 8, pp. 367-381, 2006.
-
(2006)
J. R. Soc. Interface
, vol.3
, Issue.8
, pp. 367-381
-
-
Carrivick, L.1
-
9
-
-
0036359730
-
A stability based method for discovering structure in clustered data
-
R. B. Altman and K. Lauderdalc, Eds. Kauai, Hawaii, USA
-
A. Ben-Hur, A. Elisseeff, and I. Guyon, "A stability based method for discovering structure in clustered data," in Biocomputing (Proc. Pacific Symp.), vol. 7, R. B. Altman and K. Lauderdalc, Eds. Kauai, Hawaii, USA, 2002, pp. 6-17.
-
(2002)
Biocomputing (Proc. Pacific Symp.)
, vol.7
, pp. 6-17
-
-
Ben-Hur, A.1
Elisseeff, A.2
Guyon, I.3
-
10
-
-
0035979259
-
Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments
-
M. K. Kerr and G. A. Churchill, "Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments," Proc. Natl. Acad. Sci., vol.98, pp. 8961-8965, 2001.
-
(2001)
Proc. Natl. Acad. Sci.
, vol.98
, pp. 8961-8965
-
-
Kerr, M.K.1
Churchill, G.A.2
-
11
-
-
33947159574
-
Evaluation of stability of k-means cluster ensembles with respect to random initialization
-
L. I. Kuncheva and D. P. Vetrov, "Evaluation of stability of k-means cluster ensembles with respect to random initialization," IEEE Trans. Pattern Anal. Machine Intell., vol.28, no.11, pp. 1798-1808, 2006.
-
(2006)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.28
, Issue.11
, pp. 1798-1808
-
-
Kuncheva, L.I.1
Vetrov, D.P.2
-
12
-
-
34248168069
-
Clustering aggregation
-
A. Gionis, H. Mannila, and P. Tsaparas, "Clustering aggregation," ACM Trans. Knowl. Discov. Data, vol.1, no.1, 2007.
-
(2007)
ACM Trans. Knowl. Discov. Data
, vol.1
, Issue.1
-
-
Gionis, A.1
Mannila, H.2
Tsaparas, P.3
-
14
-
-
84878080180
-
Meta clustering
-
R. Caruana, M. Elhawary, N. Nguyen, and C. Smith, "Meta clustering," in Proc. 6th IEEE Int. Conf. Data Mining (ICDM), 2006, pp. 107-118.
-
(2006)
Proc. 6th IEEE Int. Conf. Data Mining (ICDM)
, pp. 107-118
-
-
Caruana, R.1
Elhawary, M.2
Nguyen, N.3
Smith, C.4
-
15
-
-
40849101624
-
Interactive data analysis and clustering of genomic data
-
A. Ciaramella, et al., "Interactive data analysis and clustering of genomic data," Neural Netw., vol.21, pp. 368-378, 2008.
-
(2008)
Neural Netw.
, vol.21
, pp. 368-378
-
-
Ciaramella, A.1
-
17
-
-
38049168357
-
SOM-based data visualization methods
-
J. Vesanto, "SOM-based data visualization methods," Intell. Data Anal., vol.3, pp. 111-126, 1999.
-
(1999)
Intell. Data Anal.
, vol.3
, pp. 111-126
-
-
Vesanto, J.1
-
18
-
-
48649103684
-
Cluster-based visualisation with scatter matrices
-
P. J. G. Lisboa, I. O. Ellis, A. R. Green, F. Ambrogi, and M. B. Dias, "Cluster-based visualisation with scatter matrices," Pattern Recogn. Lett., vol.29, no.13, pp. 1814-1823, 2008.
-
(2008)
Pattern Recogn. Lett.
, vol.29
, Issue.13
, pp. 1814-1823
-
-
Lisboa, P.J.G.1
Ellis, I.O.2
Green, A.R.3
Ambrogi, F.4
Dias, M.B.5
-
19
-
-
0035319006
-
Computational studies of gene regulatory networks: In numero molecular biology
-
J. Hasty, D. McMillen, F. Isaacs, and J. J. Collins, "Computational studies of gene regulatory networks: In numero molecular biology," Nature Rev. Gene., vol.2, pp. 268-279, 2001.
-
(2001)
Nature Rev. Gene.
, vol.2
, pp. 268-279
-
-
Hasty, J.1
Mc Millen, D.2
Isaacs, F.3
Collins, J.J.4
-
20
-
-
0036207347
-
Modeling and simulation of genetic regulatory systems: A literature review
-
H. De Jong, "Modeling and simulation of genetic regulatory systems: A literature review," J. Computat. Biol., vol.9, no.1, pp. 67-103, 2002.
-
(2002)
J. Computat. Biol.
, vol.9
, Issue.1
, pp. 67-103
-
-
De Jong, H.1
-
22
-
-
0842288337
-
Inferring cellular networks using probabilistic graphical models
-
N. Friedman, "Inferring cellular networks using probabilistic graphical models," Science, vol.303, p. 799, 2004.
-
(2004)
Science
, vol.303
, pp. 799
-
-
Friedman, N.1
-
23
-
-
34548459831
-
A primer on learning in Bayesian networks for computational biology
-
C. Needham, J. Bradford, A. Bulpitt, and D. Westhead, "A primer on learning in Bayesian networks for computational biology," PLOS Computat. Biol., vol.3, no.8, pp. 1409-1416, 2007.
-
(2007)
PLOS Computat. Biol.
, vol.3
, Issue.8
, pp. 1409-1416
-
-
Needham, C.1
Bradford, J.2
Bulpitt, A.3
Westhead, D.4
-
24
-
-
33646012325
-
A probabilistic methodology for integrating knowledge and experiments on biological networks
-
I. Gat-Viks, A. Tanay, D. Raijaman, and R. Shamir, "A probabilistic methodology for integrating knowledge and experiments on biological networks," J. Computat. Biol., vol.13, no.2, pp. 165-181, 2006.
-
(2006)
J. Computat. Biol.
, vol.13
, Issue.2
, pp. 165-181
-
-
Gat-Viks, I.1
Tanay, A.2
Raijaman, D.3
Shamir, R.4
-
25
-
-
15944364151
-
An empirical Bayes approach to inferring large-scale gene association networks
-
J. Schafer and K. Strimmer, "An empirical Bayes approach to inferring large-scale gene association networks," Bioinformatics, vol.21, no.6, pp. 754-764, 2005.
-
(2005)
Bioinformatics
, vol.21
, Issue.6
, pp. 754-764
-
-
Schafer, J.1
Strimmer, K.2
-
26
-
-
16844376909
-
Reverse engineering of regulatory networks in human B cells
-
K. Basso, et al., "Reverse engineering of regulatory networks in human B cells," Nature Gene., vol.37, no.4, pp. 382-1290, 2005.
-
(2005)
Nature Gene.
, vol.37
, Issue.4
, pp. 382-1290
-
-
Basso, K.1
-
27
-
-
33748181096
-
Machine learning for detection and diagnosis of disease
-
P. Sajda, "Machine learning for detection and diagnosis of disease," Annu. Rev. Biomed. Eng., vol.8, pp. 537-565, 2006.
-
(2006)
Annu. Rev. Biomed. Eng.
, vol.8
, pp. 537-565
-
-
Sajda, P.1
-
28
-
-
0037438563
-
Tumour grading from magnetic resonance spectroscopy: A comparison of feature extraction with variable selection
-
Y. Huang, P. J. G. Lisboa, and W. El-Deredy, "Tumour grading from magnetic resonance spectroscopy: A comparison of feature extraction with variable selection," Stat. Med., vol.22, no.1, pp. 147-164, 2003.
-
(2003)
Stat. Med.
, vol.22
, Issue.1
, pp. 147-164
-
-
Huang, Y.1
Lisboa, P.J.G.2
El-Deredy, W.3
-
29
-
-
0033694698
-
A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: Nosologic images
-
F. Szabo De Edelenyi, et al., "A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: Nosologic images," Nature Med., vol.6, pp. 1287-1289, 2000.
-
(2000)
Nature Med.
, vol.6
, pp. 1287-1289
-
-
Edelenyi De F.Szabo1
-
30
-
-
33846647841
-
Fast nosologic imaging of the brain
-
M. De Vos, T. Laudadio, A.W. Simonetti, A. Heerschap, and S. Van Huffel, "Fast nosologic imaging of the brain," J. Magnet. Reson., vol.184, no.2, pp. 292-301, 2007.
-
(2007)
J. Magnet. Reson.
, vol.184
, Issue.2
, pp. 292-301
-
-
De Vos, M.1
Laudadio, T.2
Simonetti, A.W.3
Heerschap, A.4
Van Huffel, S.5
-
32
-
-
67649118205
-
Neuroimaging in neuro-oncology
-
S. Cha, "Neuroimaging in neuro-oncology," J. Amer. Soc. Exp. NeuroTherapeu., vol.6, pp. 465-477, 2009.
-
(2009)
J. Amer. Soc. Exp. NeuroTherapeu.
, vol.6
, pp. 465-477
-
-
Cha, S.1
-
33
-
-
0036713707
-
Double-peaked time distribution of mortality for breast cancer patients undergoing mastectomy
-
R. Demicheli, P. Valagussa, and G. Bonadonna, "Double-peaked time distribution of mortality for breast cancer patients undergoing mastectomy," Breast Cancer Res. Treat., vol.75, pp. 127-134, 2002.
-
(2002)
Breast Cancer Res. Treat.
, vol.75
, pp. 127-134
-
-
Demicheli, R.1
Valagussa, P.2
Bonadonna, G.3
-
34
-
-
76349121239
-
The predictive value of detailed histological staging of surgical resection specimens in oral cancer
-
A. F. G. Taktak and A. C. Fisher, Eds. U.K.: Elsevier
-
J. A. Woolgar, "The predictive value of detailed histological staging of surgical resection specimens in oral cancer," in Outcome Prediction in Cancer, A. F. G. Taktak and A. C. Fisher, Eds. U.K.: Elsevier, 2007, pp. 3-26.
-
(2007)
Outcome Prediction in Cancer
, pp. 3-26
-
-
Woolgar, J.A.1
-
35
-
-
0031921607
-
Feed forward neural networks for the analysis of censored survival data: A partial logistic regression approach
-
E. Biganzoli, P. Boracchi, L. Mariani, and E. Marubini, "Feed forward neural networks for the analysis of censored survival data: A partial logistic regression approach," Stat. Med., vol.17, pp. 1269-11206, 1998.
-
(1998)
Stat. Med.
, vol.17
, pp. 1269-11206
-
-
Biganzoli, E.1
Boracchi, P.2
Mariani, L.3
Marubini, E.4
-
36
-
-
0038016960
-
A novel neural network-based survival analysis model
-
A. Eleuteri, R. Tagliaferri, L. Milano, S. De Placido, and M. De Laurentiis, "A novel neural network-based survival analysis model," Neural Netw., vol.16, no.5-6, pp. 855-864, 2003.
-
(2003)
Neural Netw.
, vol.16
, Issue.5-6
, pp. 855-864
-
-
Eleuteri, A.1
Tagliaferri, R.2
Milano, L.3
De Placido, S.4
De Laurentiis, M.5
-
37
-
-
34347230846
-
Double-blind evaluation and benchmarking of survival models in a multi-centre study
-
A. Taktak, et al., "Double-blind evaluation and benchmarking of survival models in a multi-centre study," Comput. Biol. Med., vol.37, no.8, pp. 1108-1120, 2007.
-
(2007)
Comput. Biol. Med.
, vol.37
, Issue.8
, pp. 1108-1120
-
-
Taktak, A.1
-
38
-
-
70349260138
-
Partial logistic artificial neural network for competing risks regularised with automatic relevance determination
-
P. J. G. Lisboa, et al., "Partial logistic artificial neural network for competing risks regularised with automatic relevance determination," IEEE Trans. Neural Netw., vol.20, no.9, pp. 1403-1416, 2009.
-
(2009)
IEEE Trans. Neural Netw.
, vol.20
, Issue.9
, pp. 1403-1416
-
-
Lisboa, P.J.G.1
-
39
-
-
67650914275
-
How to find simple and accurate rules for viral protease cleavage specificities
-
T. Rögnvaldsson, T. A. Etchells, L. You, D. Garwicz, I. H. Jarman, and P. J. G. Lisboa, "How to find simple and accurate rules for viral protease cleavage specificities," BMC Bioinform., vol.10, pp. 149, 2009.
-
(2009)
BMC Bioinform.
, vol.10
, pp. 149
-
-
Rögnvaldsson, T.1
Etchells, T.A.2
You, L.3
Garwicz, D.4
Jarman, I.H.5
Lisboa, P.J.G.6
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