-
1
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
KHAN, J. et al. 2001. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7: 673-679.
-
(2001)
Nat. Med.
, vol.7
, pp. 673-679
-
-
Khan, J.1
-
2
-
-
0035881617
-
Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns
-
GRUVBERGER, S. et al. 2001. Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns. Cancer Res. 61: 5979-5984.
-
(2001)
Cancer Res.
, vol.61
, pp. 5979-5984
-
-
Gruvberger, S.1
-
3
-
-
0037096859
-
Artificial neural networks and gene filtering distinguish between global gene expression profiles of Barrett's esophagus and esophageal cancer
-
XU, Y. et al. 2002. Artificial neural networks and gene filtering distinguish between global gene expression profiles of Barrett's esophagus and esophageal cancer. Cancer Res. 62: 3493-3497.
-
(2002)
Cancer Res.
, vol.62
, pp. 3493-3497
-
-
Xu, Y.1
-
4
-
-
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
-
5
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
VAN'T VEER, L.J. et al. 2002. Gene expression profiling predicts clinical outcome of breast cancer. Nature 415: 530-536.
-
(2002)
Nature
, vol.415
, pp. 530-536
-
-
Van't Veer, L.J.1
-
6
-
-
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 expression profiles. Proc. Natl. Acad. Sci. USA 98: 11462-11467.
-
(2001)
Proc. Natl. Acad. Sci. USA
, vol.98
, pp. 11462-11467
-
-
West, M.1
-
7
-
-
18244409933
-
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
-
SHIPP, M.A. et al. 2002. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat. Med. 8: 68-74.
-
(2002)
Nat. Med.
, vol.8
, pp. 68-74
-
-
Shipp, M.A.1
-
8
-
-
0142192759
-
Neural network analysis of lymphoma microarray data: Prognosis and diagnosis near-perfect
-
O'NEILL, M.C. & L. SONG. 2003. Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect. BMC Bioinformatics 4: 13.
-
(2003)
BMC Bioinformatics
, vol.4
, pp. 13
-
-
O'Neill, M.C.1
Song, L.2
-
9
-
-
0036262111
-
Analyzing array data using supervised methods
-
RINGNER, M., C. PETERSON & J. KHAN. 2002. Analyzing array data using supervised methods. Pharmacogenomics 3: 403-415.
-
(2002)
Pharmacogenomics
, vol.3
, pp. 403-415
-
-
Ringner, M.1
Peterson, C.2
Khan, J.3
-
10
-
-
0035375137
-
Computational analysis of microarray data
-
QUACKENBUSH, J. 2001. Computational analysis of microarray data. Nat. Rev. Genet. 2: 418-427.
-
(2001)
Nat. Rev. Genet.
, vol.2
, pp. 418-427
-
-
Quackenbush, J.1
-
12
-
-
0034601455
-
Molecular classification of cutaneous malignant melanoma by gene expression profiling
-
BITTNER, M. et al. 2000. Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature 406: 536-540.
-
(2000)
Nature
, vol.406
, pp. 536-540
-
-
Bittner, M.1
-
13
-
-
0023716134
-
Model for breast cancer survival: Relative prognostic roles of axillary nodal status, TNM stage, estrogen receptor concentration, and tumor necrosis
-
SHEK, L.L. & W. GODOLPHIN. 1988. Model for breast cancer survival: relative prognostic roles of axillary nodal status, TNM stage, estrogen receptor concentration, and tumor necrosis. Cancer Res. 48: 5565-5569.
-
(1988)
Cancer Res.
, vol.48
, pp. 5565-5569
-
-
Shek, L.L.1
Godolphin, W.2
-
14
-
-
0032423729
-
Steroid hormone receptors in breast cancer management
-
OSBORNE, C.K. 1998. Steroid hormone receptors in breast cancer management. Breast Cancer Res. Treat. 51: 227-238.
-
(1998)
Breast Cancer Res. Treat.
, vol.51
, pp. 227-238
-
-
Osborne, C.K.1
-
16
-
-
0035942271
-
Significance analysis of microarrays applied to the ionizing radiation response
-
TUSHER, V.G., R. TIBSHIRANI & G. CHU. 2001. Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl. Acad. Sci. USA 98: 5116-5121.
-
(2001)
Proc. Natl. Acad. Sci. USA
, vol.98
, pp. 5116-5121
-
-
Tusher, V.G.1
Tibshirani, R.2
Chu, G.3
-
17
-
-
0034598746
-
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
-
ALIZADEH, A.A. et al. 2000. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403: 503-511.
-
(2000)
Nature
, vol.403
, pp. 503-511
-
-
Alizadeh, A.A.1
|