-
1
-
-
0036852721
-
Automated subcellular localization and quantification of protein expression in tissue microarrays
-
DOI 10.1038/nm791
-
Camp RL, Chung GG, Rimm DL. Automated subcellular localization and quantification of protein expression in tissue microarrays. Nat Med. 2002;8:1323-1327. (Pubitemid 35373567)
-
(2002)
Nature Medicine
, vol.8
, Issue.11
, pp. 1323-1327
-
-
Camp, R.L.1
Chung, G.G.2
Rimm, D.L.3
-
2
-
-
9244241036
-
Automated quantitative analysis of HDM2 expression in malignant melanoma shows association with early-stage disease and improved outcome
-
DOI 10.1158/0008-5472.CAN-04-1384
-
Berger AJ, Camp RL, Di Vito KA, et al. Automated quantitative analysis of HDM2 expression in malignant melanoma shows association with early-stage disease and improved outcome. Cancer Res. 2004;64:8767-8772. (Pubitemid 39552095)
-
(2004)
Cancer Research
, vol.64
, Issue.23
, pp. 8767-8772
-
-
Berger, A.J.1
Camp, R.L.2
Divito, K.A.3
Kluger, H.M.4
Halaban, R.5
Rimm, D.L.6
-
3
-
-
0037382283
-
Quantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome
-
Camp RL, Dolled-Filhart M, King BL, et al. Quantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome. Cancer Res. 2003;63:1445-1448. (Pubitemid 36373626)
-
(2003)
Cancer Research
, vol.63
, Issue.7
, pp. 1445-1448
-
-
Camp, R.L.1
Dolled-Filhart, M.2
King, B.L.3
Rimm, D.L.4
-
4
-
-
0037316938
-
Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis
-
Dolled-Filhart M, Camp RL, Kowalski DP, et al. Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis. Clin Cancer Res. 2003;9:594-600. (Pubitemid 36182589)
-
(2003)
Clinical Cancer Research
, vol.9
, Issue.2
, pp. 594-600
-
-
Dolled-Filhart, M.1
Camp, R.L.2
Kowalski, D.P.3
Smith, B.L.4
Rimm, D.L.5
-
5
-
-
29844434293
-
Automated quantitative analysis (AQUA) of in situ protein expression, antibody concentration, and prognosis
-
DOI 10.1093/jnci/dji427
-
McCabe A, Dolled-Filhart M, Camp RL, et al. Automated quantitative analysis (AQUA) of in situ protein expression, antibody concentration, and prognosis. J Natl Cancer Inst. 2005;97:1808-1815. (Pubitemid 43033901)
-
(2005)
Journal of the National Cancer Institute
, vol.97
, Issue.24
, pp. 1808-1815
-
-
McCabe, A.1
Dolled-Filhart, M.2
Camp, R.L.3
Rimm, D.L.4
-
6
-
-
37549070609
-
Emergent unsupervised clustering paradigms with potential application to bioinformatics
-
DOI 10.2741/2711
-
Miller DJ, Wang Y, Kesidis G. Emergent unsupervised clustering paradigms with potential application to bioinformatics. Front Biosci. 2008;13:677-690. (Pubitemid 351606122)
-
(2008)
Frontiers in Bioscience
, vol.13
, Issue.2
, pp. 677-690
-
-
Miller, D.J.1
Wang, Y.2
Kesidis, G.3
-
7
-
-
33744938180
-
Quantitative in situ analysis of beta-catenin expression in breast cancer shows decreased expression is associated with poor outcome
-
Dolled-Filhart M,McCabe A, Giltane J, et al. Quantitative in situ analysis of beta-catenin expression in breast cancer shows decreased expression is associated with poor outcome. Cancer Res. 2006;66:5487-5494.
-
(2006)
Cancer Res
, vol.66
, pp. 5487-5494
-
-
Dolled-Filhart, M.1
McCabe, A.2
Giltane, J.3
-
8
-
-
20444480567
-
Technology insight: Identification of biomarkers with tissue microarray technology
-
DOI 10.1038/ncponc0046
-
Giltnane JM, Rimm DL. Technology insight: identification of biomarkers with tissue microarray technology. Nat Clin Pract Oncol. 2004;1:104-111. (Pubitemid 40823750)
-
(2004)
Nature Clinical Practice Oncology
, vol.1
, Issue.2
, pp. 104-111
-
-
Giltnane, J.M.1
Rimm, D.L.2
-
11
-
-
8444244786
-
X-tile: A new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization
-
DOI 10.1158/1078-0432.CCR-04-0713
-
Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bioinformatics tool for biomarker assessment and outcome-based cutpoint optimization. Clin Cancer Res. 2004;10:7252-7259. (Pubitemid 39487712)
-
(2004)
Clinical Cancer Research
, vol.10
, Issue.21
, pp. 7252-7259
-
-
Camp, R.L.1
Dolled-Filhart, M.2
Rimm, D.L.3
-
12
-
-
0017277826
-
Monte Carlo principles and applications
-
Raeside DE. Monte Carlo principles and applications. Phys Med Biol. 1976;21:181-197.
-
(1976)
Phys Med Biol
, vol.21
, pp. 181-197
-
-
Raeside, D.E.1
-
13
-
-
0141816670
-
Cytopathological grading, as a predictor of histopathological grade, in ductal carcinoma (NOS) of breast, on air-dried diff-quik smears
-
DOI 10.1002/dc.10285
-
Khan MZ, Haleem A, Al Hassani H, et al. Cytopathological grading, as a predictor of histopathological grade, in ductal carcinoma (NOS) of breast, on air-dried Diff-Quik smears. Diagn Cytopathol. 2003;29:185-193. (Pubitemid 37193644)
-
(2003)
Diagnostic Cytopathology
, vol.29
, Issue.4
, pp. 185-193
-
-
Khan, M.Z.1
Haleem, A.2
Al Hassani, H.3
Kfoury, H.4
-
14
-
-
26644442952
-
Nuclear size distinguishes low- From high-grade ovarian serous carcinoma and predicts outcome
-
DOI 10.1016/j.humpath.2005.07.014, PII S0046817705003734
-
Hsu CY, Kurman RJ, Vang R, et al. Nuclear size distinguishes lowfrom high-grade ovarian serous carcinoma and predicts outcome. Hum Pathol. 2005;36:1049-1054. (Pubitemid 41443255)
-
(2005)
Human Pathology
, vol.36
, Issue.10
, pp. 1049-1054
-
-
Hsu, C.-Y.1
Kurman, R.J.2
Vang, R.3
Wang, T.-L.4
Baak, J.5
Shih, I.-M.6
-
15
-
-
0019763016
-
Estrogen receptor, a marker for human breast cancer differentiation and patient prognosis
-
Osborne CK, Fisher E, Redmond C, et al. Estrogen receptor, a marker for human breast cancer differentiation and patient prognosis. Adv Exp Med Biol. 1981;138:377-385.
-
(1981)
Adv Exp Med Biol
, vol.138
, pp. 377-385
-
-
Osborne, C.K.1
Fisher, E.2
Redmond, C.3
-
16
-
-
0038688478
-
Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases
-
DOI 10.1200/JCO.2003.09.099
-
Bardou VJ, Arpino G, Elledge RM, et al. Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases. J Clin Oncol. 2003;21:1973-1979. (Pubitemid 46606386)
-
(2003)
Journal of Clinical Oncology
, vol.21
, Issue.10
, pp. 1973-1979
-
-
Bardou, V.-J.1
Arpino, G.2
Elledge, R.M.3
Osborne, C.K.4
Clark, G.M.5
-
17
-
-
0027548648
-
Amplification and overexpression of the erbB-2 gene in human tumors: Its involvement in tumor development, significance as a prognostic factor, and potential as a target for cancer therapy
-
Hynes NE. Amplification and overexpression of the erbB-2 gene in human tumors: its involvement in tumor development, significance as a prognostic factor, and potential as a target for cancer therapy. Semin Cancer Biol. 1993;4:19-26.
-
(1993)
Semin Cancer Biol
, vol.4
, pp. 19-26
-
-
Hynes, N.E.1
-
18
-
-
15844372318
-
ERCC1 expression is a predictor of survival in resected patients with non-small cell lung cancer
-
DOI 10.1378/chest.127.3.978
-
Simon GR, Sharma S, Cantor A, et al. ERCC1 expression is a predictor of survival in resected patients with non-small cell lung cancer. Chest. 2005;127:978-983. (Pubitemid 40775532)
-
(2005)
Chest
, vol.127
, Issue.3
, pp. 978-983
-
-
Simon, G.R.1
Sharma, S.2
Cantor, A.3
Smith, P.4
Bepler, G.5
-
19
-
-
0033561655
-
Differential expression of MMAC/PTEN in glioblastoma multiforme: Relationship to localization and prognosis
-
Sano T, Lin H, Chen X, et al. Differential expression of MMAC/ PTEN in glioblastoma multiforme: relationship to localization and prognosis. Cancer Res. 1999;59:1820-1824. (Pubitemid 29186149)
-
(1999)
Cancer Research
, vol.59
, Issue.8
, pp. 1820-1824
-
-
Sano, T.1
Lin, H.2
Chen, X.3
Langford, L.A.4
Koul, D.5
Bondy, M.L.6
Hess, K.R.7
Myers, J.N.8
Hong, Y.-K.9
Yung, W.K.A.10
Steck, P.A.11
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