-
1
-
-
0036645099
-
Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men
-
Adam, B. L., Qu, Y., Davis, J.W.,Ward, M. D., Clements, M. A., Cazares, L. H., Semmes, O. J., Schellhammer, P. F., Yasui, Y., Feng, Z., and Wright, G. L., Jr., Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men, Cancer Res. 62, 3609-3614 (2002).
-
(2002)
Cancer Res.
, vol.62
, pp. 3609-3614
-
-
Adam, B.L.1
Qu, Y.2
Davis, J.W.3
Ward, M.D.4
Clements, M.A.5
Cazare, L.H.6
Semmes, O.J.7
Schellhammer, P.F.8
Yasui, Y.9
Feng, Z.10
Wright, G.L.11
-
2
-
-
0037435030
-
Mass spectrometry-based proteomics
-
Aebersold, R. and Mann, M., Mass spectrometry-based proteomics, Nature 422, 198-207 (2003).
-
(2003)
Nature
, vol.422
, pp. 198-207
-
-
Aebersold, R.1
Mann, M.2
-
3
-
-
0141855279
-
A comprehensive approach to analysis of MALDI-TOF proteomics spectra from serum samples
-
Baggerly, K. A., Morris, J. S., Wang, J., Gold, D., Xiao, L. C., and Coombes, K. R., A comprehensive approach to analysis of MALDI-TOF proteomics spectra from serum samples, Proteomics 3, 1667-1672 (2003).
-
(2003)
Proteomics
, vol.3
, pp. 1667-1672
-
-
Baggerly, K.A.1
Morris, J.S.2
Wang, J.3
Gold, D.4
Xiao, L.C.5
Coombes, K.R.6
-
4
-
-
1842559788
-
Reproducibility of SELDI-TOF protein patterns in serum: Comparing datasets from different experiments
-
Baggerly, K. A., Morris, J. S., and Coombes, K. R., Reproducibility of SELDI-TOF protein patterns in serum: Comparing datasets from different experiments, Bioinformatics 20(5), 777-785 (2004).
-
(2004)
Bioinformatics
, vol.20
, Issue.5
, pp. 777-785
-
-
Baggerly, K.A.1
Morris, J.S.2
Coombes, K.R.3
-
5
-
-
0001677717
-
Controlling the false discovery rate: A practical and powerful approach to multiple testing
-
Benjamini, Y. and Hochberg, Y., Controlling the false discovery rate: A practical and powerful approach to multiple testing, J. Roy. Statist. Soc. B 57, 289-300 (1995).
-
(1995)
J. Roy. Statist. Soc. B
, vol.57
, pp. 289-300
-
-
Benjamini, Y.1
Hochberg, Y.2
-
6
-
-
84954616979
-
A functional data approach to MALID-TOF MS protein analysis
-
(unpublished manuscript)
-
Billheimer, D., A functional data approach to MALID-TOF MS protein analysis (unpublished manuscript).
-
-
-
Billheimer, D.1
-
7
-
-
33646369395
-
Issues of processing and multiple testing of SELDI-TOF MS proteomic data
-
Birkner, M. D., Hubbard, A. E., van der Laan, M. J., Skibola, C. F., Hegedus, C. M., and Smith, M. T., Issues of processing and multiple testing of SELDI-TOF MS proteomic data, Statist. Appl. Genet. Molec. Biol. 5(1) (2006).
-
(2006)
Statist. Appl. Genet. Molec. Biol.
, vol.5
, Issue.1
-
-
Birkner, M.D.1
Hubbard, A.E.2
van der Laan, M.J.3
Skibola, C.F.4
Hegedus, C.M.5
Smith, M.T.6
-
8
-
-
34447568957
-
Nonparametric models for proteomic peak identification and quantification
-
in Do, K.-A., Müller, P., and Vannucci, M., eds., Cambridge Univ. Press
-
Clyde, M., House, L., and Wolpert, R., Nonparametric models for proteomic peak identification and quantification, in Do, K.-A., Müller, P., and Vannucci, M., eds., Bayesian Inference for Gene Expression and Proteomics, Cambridge Univ. Press, 2006, pp. 293-308.
-
(2006)
Bayesian Inference for Gene Expression and Proteomics
, pp. 293-308
-
-
Clyde, M.1
House, L.2
Wolpert, R.3
-
9
-
-
2942581832
-
High-resolution serum proteomic features for ovarian cancer detection
-
Conrads, T. P., Fusaro, V. A., Ross, S., Johann, D., Rajapakse, V., Hitt, B. A., Steinberg, S. M., Kohn, E. C., Fishman, D. A., Whitely, G., Barrett, J. C., Liotta, L. A., Petricoin III, E. F., and Veenstra, T. D., High-resolution serum proteomic features for ovarian cancer detection, Endocr. Related Cancer 11, 163-178 (2004).
-
(2004)
Endocr. Related Cancer
, vol.11
, pp. 163-178
-
-
Conrads, T.P.1
Fusaro, V.A.2
Ross, S.3
Johann, D.4
Rajapakse, V.5
Hitt, B.A.6
Steinberg, S.M.7
Kohn, E.C.8
Fishman, D.A.9
Whitely, G.10
Barrett, J.C.11
Liotta, L.A.12
Petricoin, E.F.13
Veenstra, T.D.14
-
10
-
-
18744411077
-
Improved peak detection and quantification of mass spectrometry data acquired from surface-enhanced laser desorption and ionization by denoising spectra with the undecimated discrete wavelet transform
-
Coombes, K. R., Tsavachidis, S., Morris, J. S., Baggerly, K. A., Hung, M.-C., and Kuerer, H. M., Improved peak detection and quantification of mass spectrometry data acquired from surface-enhanced laser desorption and ionization by denoising spectra with the undecimated discrete wavelet transform, Proteomics 5(16), 4107-4117 (2005).
-
(2005)
Proteomics
, vol.5
, Issue.16
, pp. 4107-4117
-
-
Coombes, K.R.1
Tsavachidis, S.2
Morris, J.S.3
Baggerly, K.A.4
Hung, M.-C.5
Kuerer, H.M.6
-
11
-
-
18444401138
-
A bayesian mixture model for differential gene expression
-
Do, K.-A., Müller, P., and Tang, F., A bayesian mixture model for differential gene expression, J. Roy. Statist. Soc. C 54(3), 627-644 (2005).
-
(2005)
J. Roy. Statist. Soc. C
, vol.54
, Issue.3
, pp. 627-644
-
-
Do, K.-A.1
Müller, P.2
Tang, F.3
-
12
-
-
10844286757
-
A stochastic process approach to false discovery control
-
Genovese, C. andWasserman, L., A stochastic process approach to false discovery control, Ann. Statist. 32(3), 1035-1061 (2004).
-
(2004)
Ann. Statist.
, vol.32
, Issue.3
, pp. 1035-1061
-
-
Genovese, C.1
Wasserman, L.2
-
13
-
-
33846094610
-
Exceedance control of the false discovery proportion
-
Genovese, C. R. andWasserman, L., Exceedance control of the false discovery proportion, J. Am. Statist. Assoc. 101(476), 1408-1417 (2006).
-
(2006)
J. Am. Statist. Assoc.
, vol.101
, Issue.476
, pp. 1408-1417
-
-
Genovese, C.R.1
Wasserman, L.2
-
14
-
-
77956889087
-
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
-
Green, P. J., Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika 82, 711-732 (1995).
-
(1995)
Biometrika
, vol.82
, pp. 711-732
-
-
Green, P.J.1
-
15
-
-
0035252777
-
A functional data-analytic approach to signal discrimination
-
Hall, P., Poskitt, D. S., and Presnell, B., A functional data-analytic approach to signal discrimination, Technometrics 43, 1-9 (2001).
-
(2001)
Technometrics
, vol.43
, pp. 1-9
-
-
Hall, P.1
Poskitt, D.S.2
Presnell, B.3
-
16
-
-
0004181307
-
Digital Filters, 2nd ed.
-
Prentice-Hall, Englewood Cliffs, NJ
-
Hamming, H., Digital Filters, 2nd ed., Prentice-Hall, Englewood Cliffs, NJ, 1983.
-
(1983)
-
-
Hamming, H.1
-
17
-
-
21844486429
-
Penalized discriminant analysis
-
Hastie, T., Buja, A., and Tibshirani, R., Penalized discriminant analysis, Ann. Statist. 23, 73-102 (1995).
-
(1995)
Ann. Statist
, vol.23
, pp. 73-102
-
-
Hastie, T.1
Buja, A.2
Tibshirani, R.3
-
18
-
-
84875463071
-
Matrix-assisted laser desorption/ ionization mass spectrometry of biopolymers
-
Hillenkamp, F., Karas, M., Beavis, R. C., and Chait, B. T., Matrix-assisted laser desorption/ ionization mass spectrometry of biopolymers, Anal. Chem. 63, 1193A-1203A (1991).
-
(1991)
Anal. Chem.
, vol.63
, pp. 1193A-1203A
-
-
Hillenkamp, F.1
Karas, M.2
Beavis, R.C.3
Chait, B.T.4
-
19
-
-
22544479764
-
Markov chain monte carlo methods and the label switching problem in bayesian mixture modeling
-
Holmes, C. C., Jasra, A., and Stephens, D. A., Markov chain monte carlo methods and the label switching problem in bayesian mixture modeling, Statist. Sci. 20, 50-67 (2005).
-
(2005)
Statist. Sci.
, vol.20
, pp. 50-67
-
-
Holmes, C.C.1
Jasra, A.2
Stephens, D.A.3
-
20
-
-
84990629710
-
New desorption strategies for the mass spectrometric analysis of macromolecules
-
Hutchens, T. W. and Yip, T.-T., New desorption strategies for the mass spectrometric analysis of macromolecules, Rapid Commun. Mass Spectrom. 7(7), 576-580 (1993).
-
(1993)
Rapid Commun. Mass Spectrom.
, vol.7
, Issue.7
, pp. 576-580
-
-
Hutchens, T.W.1
Yip, T.-T.2
-
21
-
-
0037116832
-
Use of proteomic patterns in serum to identify ovarian cancer
-
Petricoin III, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., and Liotta, L. A., Use of proteomic patterns in serum to identify ovarian cancer, The Lancet 359, 572-577 (2002).
-
(2002)
The Lancet
, vol.359
, pp. 572-577
-
-
Petricoin, E.F.1
Ardekani, A.M.2
Hitt, B.A.3
Levine, P.J.4
Fusaro, V.A.5
Steinberg, S.M.6
Mills, G.B.7
Simone, C.8
Fishman, D.A.9
Kohn, E.C.10
Liotta, L.A.11
-
22
-
-
0037120949
-
Serum proteomic patterns for detection of prostate cancer
-
Petricoin III, E. F., Ornstein, D. K., Paweletz, C. P., Ardekani, A., Hackett, P. S., Hitt, B. A., Velassco, A., Trucco, C., Wiegand, L., Wood, K., Simone, C. B., Levine, P. J., Linehan, M., Emmert-Buck, M. R., Steinberg, S. M., Kohn, E. C., and Liotta, L. A., Serum proteomic patterns for detection of prostate cancer, J. Natl. Cancer Inst. 94(20), 1576-1578 (2002).
-
(2002)
J. Natl. Cancer Inst.
, vol.94
, Issue.20
, pp. 1576-1578
-
-
Petricoin, E.F.1
Ornstein, D.K.2
Paweletz, C.P.3
Ardekani, A.4
Hackett, P.S.5
Hitt, B.A.6
Velassco, A.7
Trucco, C.8
Wiegand, L.9
Wood, K.10
Simone, C.B.11
Levine, P.J.12
Linehan, M.13
Emmert-Buck, M.R.14
Steinberg, S.M.15
Kohn, E.C.16
Liotta, L.A.17
-
23
-
-
25144448206
-
Algorithms for alignment of mass spectrometry proteomic data
-
Jeffries, N., Algorithms for alignment of mass spectrometry proteomic data, Bioinformatics 21, 3066-3073 (2005).
-
(2005)
Bioinformatics
, vol.21
, pp. 3066-3073
-
-
Jeffries, N.1
-
24
-
-
24144502955
-
A perspective on protein profiling of blood
-
Katz, J. E., Mallick, P., and Agus, D. B., A perspective on protein profiling of blood, BJU Int. 96, 477-482 (2005).
-
(2005)
BJU Int.
, vol.96
, pp. 477-482
-
-
Katz, J.E.1
Mallick, P.2
Agus, D.B.3
-
25
-
-
0036580893
-
Controlling the rate of type I error over a large set of statistical tests
-
Keselman, H. J., Cribbie, R., and Holland, B., Controlling the rate of type I error over a large set of statistical tests, Br. J. Math. Statist. Psychol. 55, 27-39 (2002).
-
(2002)
Br. J. Math. Statist. Psychol.
, vol.55
, pp. 27-39
-
-
Keselman, H.J.1
Cribbie, R.2
Holland, B.3
-
26
-
-
23744439164
-
Generalizations of the familywise error rate
-
Lehmann, E. L. and Romano, J. P., Generalizations of the familywise error rate, Ann. Statist. 33(3), 1138-1154 (2005).
-
(2005)
Ann. Statist
, vol.33
, Issue.3
, pp. 1138-1154
-
-
Lehmann, E.L.1
Romano, J.P.2
-
27
-
-
0000732447
-
Canonical correlation analysis when the data are curves
-
Leurgans, S., Moyeed, R., and Silverman, B., Canonical correlation analysis when the data are curves, J. Roy. Statist. Soc. B 55, 725-740 (1993).
-
(1993)
J. Roy. Statist. Soc. B
, vol.55
, pp. 725-740
-
-
Leurgans, S.1
Moyeed, R.2
Silverman, B.3
-
28
-
-
0036324715
-
Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer
-
Li, J., Zhang, Z., Rosenzweig, J.,Wang, Y. Y., and Chan, D. W., Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer, Clin. Chem. 48(8), 1296-1304 (2002).
-
(2002)
Clin. Chem.
, vol.48
, Issue.8
, pp. 1296-1304
-
-
Li, J.1
Zhang, Z.2
Rosenzweig, J.3
Wang, Y.Y.4
Chan, D.W.5
-
29
-
-
19944362482
-
Enhancement of sensitivity and resolution of surface-enhanced laser desorption/ionization time-of-flight mass spectrometric records for serum peptides using time-series analysis techniques
-
Malyarenko, D. I., Cooke, W. E., Adam, B.-L., Malik, G., Chen, H., Tracy, E. R., Trosset, M.W., Sasinowski, M., Semmes, O. J., and Manos, D. M., Enhancement of sensitivity and resolution of surface-enhanced laser desorption/ionization time-of-flight mass spectrometric records for serum peptides using time-series analysis techniques, Clin. Chem. 51, 65-74 (2005).
-
(2005)
Clin. Chem.
, vol.51
, pp. 65-74
-
-
Malyarenko, D.I.1
Cooke, W.E.2
Adam, B.-L.3
Malik, G.4
Chen, H.5
Tracy, E.R.6
Trosset, M.W.7
Sasinowski, M.8
Semmes, O.J.9
Manos, D.M.10
-
30
-
-
23844534811
-
Reporting recommendations for tumor marker prognostic studies (REMARK)
-
McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., and Clark, G. M., Reporting recommendations for tumor marker prognostic studies (REMARK), J. Natl. Cancer Inst. 97, 1180-1184 (2005).
-
(2005)
J. Natl. Cancer Inst.
, vol.97
, pp. 1180-1184
-
-
McShane, L.M.1
Altman, D.G.2
Sauerbrei, W.3
Taube, S.E.4
Gion, M.5
Clark, G.M.6
-
31
-
-
34447562371
-
Analysis of mass spectrometry data using Bayesian wavelet-based functional mixed models
-
in Do, K.-A., Müller, P., and Vannucci, M., eds., Cambridge University Press
-
Morris, J. S., Brown, P. J., Baggerly, K. A., and Coombes, K. R., Analysis of mass spectrometry data using Bayesian wavelet-based functional mixed models, in Do, K.-A., Müller, P., and Vannucci, M., eds., Bayesian Inference for Gene Expression and Proteomics, Cambridge University Press, 2006, pp. 269-292.
-
(2006)
Bayesian Inference for Gene Expression and Proteomics
, pp. 269-292
-
-
Morris, J.S.1
Brown, P.J.2
Baggerly, K.A.3
Coombes, K.R.4
-
32
-
-
84954583615
-
Bayesian Analysis of Mass Spectrometry Proteomics Using Wavelet Based Functional Mixed Models, UT MD Anderson Cancer Depatment of Biostatistics and Applied Mathematics Working Paper Series
-
Working Paper 22, March
-
Morris, J. S., Brown, P. J., Herrick, R. C., Baggerly, K. A., and Coombes, K. R., Bayesian Analysis of Mass Spectrometry Proteomics Using Wavelet Based Functional Mixed Models, UT MD Anderson Cancer Depatment of Biostatistics and Applied Mathematics Working Paper Series, Working Paper 22, (http://www/bepress.com/ mdandersonbiostat/paper22), March 2006.
-
(2006)
-
-
Morris, J.S.1
Brown, P.J.2
Herrick, R.C.3
Baggerly, K.A.4
Coombes, K.R.5
-
33
-
-
18744384734
-
Feature extraction and quantification for mass spectrometry data in biomedical applications using the mean spectrum
-
Morris, J. S., Coombes, K. R., Koomen, J., Baggerly, K. A., and Kobayashi, R., Feature extraction and quantification for mass spectrometry data in biomedical applications using the mean spectrum, Bioinformatics 21(9), 1764-1775 (2005).
-
(2005)
Bioinformatics
, vol.21
, Issue.9
, pp. 1764-1775
-
-
Morris, J.S.1
Coombes, K.R.2
Koomen, J.3
Baggerly, K.A.4
Kobayashi, R.5
-
34
-
-
84954616444
-
A Bayesian Mixture Model for Protein Biomarker Discovery
-
Technical Report, M. D. Anderson Cancer Center
-
Müller, P., Do, K.-A., Bandyopadhyay, R., and Baggerly, K., A Bayesian Mixture Model for Protein Biomarker Discovery, Technical Report, M. D. Anderson Cancer Center, 2006.
-
(2006)
-
-
Müller, P.1
Do, K.-A.2
Bandyopadhyay, R.3
Baggerly, K.4
-
35
-
-
0037000528
-
Proteomic approaches to tumor marker discovery: Identification of biomarkers for ovarian cancer
-
Rai, A. J., Zhang, Z., Rosenzweig, J., Shih, I. M., Pham, T., Fung, E. T., Sokoll, L. J., and Chan, D. W., Proteomic approaches to tumor marker discovery: Identification of biomarkers for ovarian cancer, Arch. Pathol. Lab. Med. 126, 1518-1526 (2002).
-
(2002)
Arch. Pathol. Lab. Med.
, vol.126
, pp. 1518-1526
-
-
Rai, A.J.1
Zhang, Z.2
Rosenzweig, J.3
Shih, I.M.4
Pham, T.5
Fung, E.T.6
Sokoll, L.J.7
Chan, D.W.8
-
36
-
-
0004130505
-
Functional Data Analysis
-
Springer-Verlag, New York
-
Ramsay, J. O. and Silverman, B. W., Functional Data Analysis, Springer-Verlag, New York, 1997.
-
(1997)
-
-
Ramsay, J.O.1
Silverman, B.W.2
-
37
-
-
13444283596
-
Bias as a threat to the validity of cancer molecular-marker research
-
Ransohoff, D. F., Bias as a threat to the validity of cancer molecular-marker research, Nature Rev. Cancer 5(2), 142-149 (2005).
-
(2005)
Nature Rev. Cancer
, vol.5
, Issue.2
, pp. 142-149
-
-
Ransohoff, D.F.1
-
38
-
-
0037433040
-
Identifying differentially expressed genes using false discovery rate controlling procedures
-
Reiner, A., Yekutieli, D., and Benjamini, Y., Identifying differentially expressed genes using false discovery rate controlling procedures, Bioinformatics 19, 368-375 (2003).
-
(2003)
Bioinformatics
, vol.19
, pp. 368-375
-
-
Reiner, A.1
Yekutieli, D.2
Benjamini, Y.3
-
39
-
-
0042553279
-
Smoothing and differentiation of data by simplified least squares procedures
-
Savitzky, A. and Golay, M. J. E., Smoothing and differentiation of data by simplified least squares procedures, Anal. Chem. 36, 1627-1639 (1964).
-
(1964)
Anal. Chem.
, vol.36
, pp. 1627-1639
-
-
Savitzky, A.1
Golay, M.J.E.2
-
40
-
-
84954598075
-
A false discovery rate approach to separate the score distributions of induced and non-induced genes
-
Workshop on Distributed Statistical Computing
-
Scheid, S. and Spang, R., A false discovery rate approach to separate the score distributions of induced and non-induced genes, in Proc. 3rd Int. Workshop on Distributed Statistical Computing, 2003.
-
(2003)
in Proc. 3rd Int.
-
-
Scheid, S.1
Spang, R.2
-
41
-
-
0348213787
-
The Expanding Role of Mass Spectrometry in Biotechnology
-
MCC Press
-
Siuzdak, G., The Expanding Role of Mass Spectrometry in Biotechnology, MCC Press, 2003.
-
(2003)
-
-
Siuzdak, G.1
-
42
-
-
0003670427
-
Estimating False Discovery Rates under Dependence, with Applications to DNA Microarrays
-
Technical Report, Stanford Univ.
-
Storey, J. D. and Tibshirani, R., Estimating False Discovery Rates under Dependence, with Applications to DNA Microarrays, Technical Report, Stanford Univ., 2001.
-
(2001)
-
-
Storey, J.D.1
Tibshirani, R.2
-
43
-
-
0345822598
-
The positive false discovery rate: A bayesian interpretation and the q-value
-
Storey, J. D., The positive false discovery rate: A bayesian interpretation and the q-value, Ann. Statist. 31(6), 2013-2035 (2003).
-
(2003)
Ann. Statist.
, vol.31
, Issue.6
, pp. 2013-2035
-
-
Storey, J.D.1
-
44
-
-
10244279272
-
Sample classificationfrom protein mass spectrometry, by "peak probability contrasts,"
-
Tibshirani, R., Hastie, T., Narasimhan, B., Soltys, S., Shi, G., Kong, A., and Le, Q.-T., Sample classificationfrom protein mass spectrometry, by "peak probability contrasts," Bioinformatics 20, 3034-3044 (2004).
-
(2004)
Bioinformatics
, pp. 3034-3044
-
-
Tibshirani, R.1
Hastie, T.2
Narasimhan, B.3
Soltys, S.4
Shi, G.5
Kong, A.6
Le, Q.-T.7
-
45
-
-
26444606686
-
Resampling based multiple testing procedure controlling tail probability of the proportion of false positives
-
van der Laan, M. J., Birkner, M. D., and Hubbard, A. E., Resampling based multiple testing procedure controlling tail probability of the proportion of false positives, Statist. Appl. Genet. Molec. Biol. 4(1) (2005).
-
(2005)
Statist. Appl. Genet. Molec. Biol.
, vol.4
, Issue.1
-
-
van der Laan, M.J.1
Birkner, M.D.2
Hubbard, A.E.3
-
46
-
-
0035074699
-
Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine
-
Vlahou, A., Schellhammer, P. F., Mendrinos, S., Patel, K., Kondylis, F. I., Gong, L., Nasim, S., and Wright, G. L., Jr., Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine, Am. J. Pathol. 154, 1491-1502 (2001).
-
(2001)
Am. J. Pathol.
, vol.154
, pp. 1491-1502
-
-
Vlahou, A.1
Schellhammer, P.F.2
Mendrinos, S.3
Patel, K.4
Kondylis, F.I.5
Gong, L.6
Nasim, S.7
Wright, G.L.8
-
47
-
-
33847181474
-
Time of flight mass spectrometer with improved resolution
-
Wiley, W. C. and McLaren, I. H., Time of flight mass spectrometer with improved resolution, Rev. Sci. Instrum. 26, 1150-1157 (1955).
-
(1955)
Rev. Sci. Instrum.
, vol.2
, pp. 1150-1157
-
-
Wiley, W.C.1
McLaren, I.H.2
-
48
-
-
0141738784
-
Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
-
Wu, B., Abbott, T., Fishman, D., McMurray,W., More, G., Stone, K.,Ward, D.,Williams, K., and Zhao, H., Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data, Bioinformatics 19(13), 1636-1643 (2003).
-
(2003)
Bioinformatics
, vol.19
, Issue.13
, pp. 1636-1643
-
-
Wu, B.1
Abbott, T.2
Fishman, D.3
McMurray, W.4
More, G.5
Stone, K.6
Ward, D.7
Williams, K.8
Zhao, H.9
-
49
-
-
4143067096
-
Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer
-
Zhang, Z., Jr., Bast, R. C., Yu, Y., Li, J., Sokoll, L. J., Rai, A. J., Rosenzweig, J. M., Cameron, B., Wang, Y. Y., Meng, X.-Y., Berchuck, A., van Haaften-Day, C., Hacker, N. F., de Bruijn, H. W. A., van der Zee, A. G. J., Jacobs, I. J., Fung, E. T., and Chan, D. W., Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer, Cancer Res. 64, 5882-5890 (2004).
-
(2004)
Cancer Res.
, vol.64
, pp. 5882-5890
-
-
Zhang, Z.1
Bast, R.C.2
Yu, Y.3
Li, J.4
Sokoll, L.J.5
Rai, A.J.6
Rosenzweig, J.M.7
Cameron, B.8
Wang, Y.Y.9
Meng, X.-Y.10
Berchuck, A.11
van Haaften-Day, C.12
Hacker, N.F.13
de Bruijn, H.W.A.14
van der Zee, A.G.J.15
Jacobs, I.J.16
Fung, E.T.17
Chan, D.W.18
-
50
-
-
0019397062
-
Properties of digital smoothing polynomial (DISPO) filter
-
Ziegler, H., Properties of digital smoothing polynomial (DISPO) filters, Appl. Spectrosc. 35(1), 88-92 (1981).
-
(1981)
Appl. Spectrosc.
, vol.35
, Issue.1
, pp. 88-92
-
-
Ziegler, H.1
|