-
1
-
-
33745753110
-
The role of mass spectrometry in biomarker discovery and measurement
-
Ackermann, B. L., Hale, J. E., & Duffin, K. L. (2006). The role of mass spectrometry in biomarker discovery and measurement. Current Drug Metabolism, 7(5), 525-539. doi: 10.2174/138920006777697918
-
(2006)
Current Drug Metabolism
, vol.7
, Issue.5
, pp. 525-539
-
-
Ackermann, B.L.1
Hale, J.E.2
Duffin, K.L.3
-
2
-
-
84871384459
-
Genetic programming for biomarker detection in mass spectrometry data
-
Ahmed, S., Zhang, M., & Peng, L. (2012). Genetic programming for biomarker detection in mass spectrometry data. Proceedings of the 25th Australasian joint conference on artificial intelligence, Sydney, Australia, pp. 266-278.
-
(2012)
Proceedings of the 25th Australasian joint conference on artificial intelligence, Sydney, Australia
, pp. 266-278
-
-
Ahmed, S.1
Zhang, M.2
Peng, L.3
-
3
-
-
84881571981
-
Enhanced feature selection for biomarker discovery in LC-MS data using GP
-
Ahmed, S., Zhang, M., & Peng, L. (2013a). Enhanced feature selection for biomarker discovery in LC-MS data using GP. Proceedings of 2013 IEEE congress on evolutionary computation, Cancun, Mexico, pp. 584-591.
-
(2013)
Proceedings of 2013 IEEE congress on evolutionary computation, Cancun, Mexico
, pp. 584-591
-
-
Ahmed, S.1
Zhang, M.2
Peng, L.3
-
4
-
-
84875122317
-
Feature selection and classification of high dimensional mass spectrometry data: A genetic programming approach
-
Ahmed, S., Zhang, M., & Peng, L. (2013b). Feature selection and classification of high dimensional mass spectrometry data: A genetic programming approach. in Proceedings of 11th European conference on machine learning and data mining in bioinformatics, Vienna, Austria, pp. 43-55.
-
(2013)
Proceedings of 11th European conference on machine learning and data mining in bioinformatics, Vienna, Austria
, pp. 43-55
-
-
Ahmed, S.1
Zhang, M.2
Peng, L.3
-
5
-
-
0141855279
-
A comprehensive approach to the analysis of matrix-assisted laser desorption/ionization-time of flight proteomics spectra from serum samples
-
Baggerly, K., Morris, J., Wang, J., Gold, D., Xiao, L., & Coombes, K. (2003). A comprehensive approach to the analysis of matrix-assisted laser desorption/ionization-time of flight proteomics spectra from serum samples. Proteomics, 3(9), 1667-72. doi: 10.1002/pmic.200300522
-
(2003)
Proteomics
, vol.3
, Issue.9
, pp. 1667-1672
-
-
Baggerly, K.1
Morris, J.2
Wang, J.3
Gold, D.4
Xiao, L.5
Coombes, K.6
-
6
-
-
80155143971
-
Bioinformatic-driven search for metabolic biomarkers in disease
-
Baumgartner, C., Osl, M., Netzer, M., & Baumgartner, D. (2011). Bioinformatic-driven search for metabolic biomarkers in disease. Journal of Clinical Bioinformatics, 1(1), 2-10. doi: 10.1186/2043-9113-1-2
-
(2011)
Journal of Clinical Bioinformatics
, vol.1
, Issue.1
, pp. 2-10
-
-
Baumgartner, C.1
Osl, M.2
Netzer, M.3
Baumgartner, D.4
-
8
-
-
22344451035
-
MBEToolbox: A Matlab toolbox for sequence data analysis in molecular biology and evolution
-
Cai, J., Smith, D., Xia, X., & Yuen, K. y. (2005). MBEToolbox: A Matlab toolbox for sequence data analysis in molecular biology and evolution. BMC Bioinformatics, 6(1), 64-72. doi: 10.1186/1471-2105-6-64
-
(2005)
BMC Bioinformatics
, vol.6
, Issue.1
, pp. 64-72
-
-
Cai, J.1
Smith, D.2
Xia, X.3
Yuen, K.Y.4
-
9
-
-
84871862591
-
A critical assessment of feature selection methods for biomarker discovery in clinical proteomics
-
Christin, C., Hoefsloot, H. C. J., Smilde, A. K., Hoekman, B., Suits, F., Bischoff, R., & Horvatovich, P. (2013). A critical assessment of feature selection methods for biomarker discovery in clinical proteomics. Molecular & Cellular Proteomics, 12(1), 263-276. doi: 10.1074/mcp.M112.022566
-
(2013)
Molecular & Cellular Proteomics
, vol.12
, Issue.1
, pp. 263-276
-
-
Christin, C.1
Hoefsloot, H.C.J.2
Smilde, A.K.3
Hoekman, B.4
Suits, F.5
Bischoff, R.6
Horvatovich, P.7
-
10
-
-
26844511377
-
MALDI-TOF mass spectrometry analysis of cerebrospinal fluid tryptic peptide profiles to diagnose leptomeningeal metastases in patients with breast cancer
-
Dekker, L. J., Boogerd, W., Stockhammer, G., Dalebout, J. C., Siccama, I., Zheng, P., Bonfrer, J. M., Verschuuren, J. J., Jenster, G., Verbeek, M. M., Luider, T. M., and Smitt, P. A. S. (2005). MALDI-TOF mass spectrometry analysis of cerebrospinal fluid tryptic peptide profiles to diagnose leptomeningeal metastases in patients with breast cancer. Molecular & Cellular Proteomics, 4(9), 1341-1349. doi: 10.1074/mcp.M500081-MCP200
-
(2005)
Molecular & Cellular Proteomics
, vol.4
, Issue.9
, pp. 1341-1349
-
-
Dekker, L.J.1
Boogerd, W.2
Stockhammer, G.3
Dalebout, J.C.4
Siccama, I.5
Zheng, P.6
Bonfrer, J.M.7
Verschuuren, J.J.8
Jenster, G.9
Verbeek, M.M.10
Luider, T.M.11
Smitt, P.A.S.12
-
11
-
-
32044450752
-
Classification of gene expression data with genetic programming
-
In: Riolo R. L., Worzel B., editors Boston, Boston,: Kluwer
-
Driscoll, J. A., Worzel, B., & MacLean, D. (2003). Classification of gene expression data with genetic programming. In R. L. Riolo and B. Worzel (Eds.), Genetic programming theory and practice (Chapter 3, pp. 25-42). Boston: Kluwer.
-
(2003)
Genetic programming theory and practice
, pp. 25-42
-
-
Driscoll, J.A.1
Worzel, B.2
MacLean, D.3
-
12
-
-
33745628826
-
Linear genetic programming for multi-class object classification
-
Lecture Notes in Computer Science,: Springer, Berlin, Berlin
-
Fogelberg, C., & Zhang, M. (2005). Linear genetic programming for multi-class object classification. AI 2005: Advances in artificial intelligence, Lecture Notes in Computer Science, Vol. 3809 (pp. 369-379). Springer Berlin.
-
(2005)
AI 2005: Advances in artificial intelligence
, vol.3809
, pp. 369-379
-
-
Fogelberg, C.1
Zhang, M.2
-
13
-
-
46149101211
-
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
-
Ge, G., & Wong, G. W. (2008). Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles. BMC Bioinformatics, 9(1), 275-287. doi: 10.1186/1471-2105-9-275
-
(2008)
BMC Bioinformatics
, vol.9
, Issue.1
, pp. 275-287
-
-
Ge, G.1
Wong, G.W.2
-
14
-
-
0000384929
-
Genetic programming: A novel method for the quantitative analysis of pyrolysis mass spectral data
-
Gilbert, R. J., Goodacre, R., Woodward, A. M., & Kell, D. B. (1997). Genetic programming: A novel method for the quantitative analysis of pyrolysis mass spectral data. Analytical Chemistry, 69(21), 4381-4389. doi: 10.1021/ac970460j
-
(1997)
Analytical Chemistry
, vol.69
, Issue.21
, pp. 4381-4389
-
-
Gilbert, R.J.1
Goodacre, R.2
Woodward, A.M.3
Kell, D.B.4
-
15
-
-
0002763902
-
Genetic programming as an analytical tool for metabolome data
-
In: Langdon W. B., Poli R., Nordin P., Fogarty T., editors Göteborg, Sweden, Göteborg,: Springer
-
Gilbert, R. J., Johnson, H. E., Winson, M. K., Rowland, J. J., Goodacre, R., Smith, A. R., Kell, D. B. (1999). Genetic programming as an analytical tool for metabolome data. In W. B. Langdon, R. Poli, P. Nordin, T. Fogarty (Eds.), Late-Breaking Papers of EuroGP-99 (pp. 23-33). Göteborg, Sweden: Springer.
-
(1999)
Late-Breaking Papers of EuroGP-99
, pp. 23-33
-
-
Gilbert, R.J.1
Johnson, H.E.2
Winson, M.K.3
Rowland, J.J.4
Goodacre, R.5
Smith, A.R.6
Kell, D.B.7
-
16
-
-
0000062803
-
Genomic computing: Explanatory modelling for functional genomics
-
In: Whitley L. D., Goldberg D. E., CantPaz E., Spector L., Parmee I. C., Beyer H. G., editors Las Vegas, Las Vegas,: Morgan Kaufmann
-
Gilbert, R. J., Rowland, J. J., & Kell, D. B. (2000). Genomic computing: Explanatory modelling for functional genomics. In L. D. Whitley, D. E. Goldberg, E. CantPaz, L. Spector, I. C. Parmee & H. G. Beyer (Eds.) Proceedings of genetic and evolutionary computation (GECCO) (pp. 551-557). Las Vegas: Morgan Kaufmann.
-
(2000)
Proceedings of genetic and evolutionary computation (GECCO)
, pp. 551-557
-
-
Gilbert, R.J.1
Rowland, J.J.2
Kell, D.B.3
-
17
-
-
84875117583
-
Multiple threshold spatially uniform ReliefF for the genetic analysis of complex human diseases
-
In: Vanneschi L., Bush W. S., Giacobini M., editors EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings, Lecture Notes in Computer Science, Vienna, Austria, Springer
-
Granizo-MacKenzie, D., & Moore, J. H. (2013). Multiple threshold spatially uniform ReliefF for the genetic analysis of complex human diseases. In L. Vanneschi, W. S. Bush, & M. Giacobini (Eds.), Evolutionary computation, machine learning and data mining in bioinformatics - 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings, Lecture Notes in Computer Science, Vol. 7833, Vienna, Austria, pp. 1-10, Springer.
-
(2013)
Evolutionary computation, machine learning and data mining in bioinformatics - 11th European Conference
, vol.7833
, pp. 1-10
-
-
Granizo-MacKenzie, D.1
Moore, J.H.2
-
18
-
-
38349045395
-
An expert knowledge-guided mutation operator for genome-wide genetic analysis using genetic programming
-
In: Rajapakse J., Schmidt B., Volkert G., editors Berlin, Berlin,: Springer
-
Greene, C., White, B., & Moore, J. (2007). An expert knowledge-guided mutation operator for genome-wide genetic analysis using genetic programming. In J. Rajapakse, B. Schmidt, & G. Volkert (Eds.), Lecture notes in Bioinfromatics Vol. 4774. (pp. 30-40). Berlin: Springer.
-
(2007)
Lecture notes in Bioinfromatics
, vol.4774
, pp. 30-40
-
-
Greene, C.1
White, B.2
Moore, J.3
-
19
-
-
69449098752
-
Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming
-
Trondheim, Norway, Trondheim
-
Greene, C., White, B., & Moore, J. (2009). Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming. IEEE Congress on evolutionary computation, 2009. CEC '09, Trondheim, Norway. pp. 1289-1296.
-
(2009)
IEEE Congress on evolutionary computation, 2009. CEC '09
, pp. 1289-1296
-
-
Greene, C.1
White, B.2
Moore, J.3
-
20
-
-
33646391384
-
Result Analysis of the NIPS 2003 Feature Selection Challenge
-
MIT Press
-
Guyon, I., Gunn, S. R., Ben-Hur, A., & Dror, G. (2004). Result Analysis of the NIPS 2003 Feature Selection Challenge. Advances in Neural Information Processing System (NIPS) Vol 17, 545-552, MIT Press.
-
(2004)
Advances in Neural Information Processing System (NIPS
, vol.17
, pp. 545-552
-
-
Guyon, I.1
Gunn, S.R.2
Ben-Hur, A.3
Dror, G.4
-
21
-
-
33745891586
-
-
Studies in Fuzziness and Soft Computing, New York, New York,: Springer
-
Guyon, I., Gunn, S., Nikravesh, M., & Zadeh, L. (2006) Feature extraction: Foundations and applications, Studies in Fuzziness and Soft Computing, New York: Springer.
-
(2006)
Feature extraction: Foundations and applications
-
-
Guyon, I.1
Gunn, S.2
Nikravesh, M.3
Zadeh, L.4
-
22
-
-
76749092270
-
The WEKA data mining software: an update
-
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., and Witten, I. H. (2009). The WEKA data mining software: an update. SIGKDD Explorations, 11(1), 10-18. doi: 10.1145/1656274.1656278
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
23
-
-
84862316959
-
msCompare: A framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies
-
M111.015974
-
Hoekman, B., Breitling, R., Suits, F., Bischoff, R., & Horvatovich, P. (2012). msCompare: A framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies. Mol Cell Proteomics, 11(6), M111.015974. doi: 10.1074/mcp.M111.015974
-
(2012)
Mol Cell Proteomics
, vol.11
, Issue.6
-
-
Hoekman, B.1
Breitling, R.2
Suits, F.3
Bischoff, R.4
Horvatovich, P.5
-
24
-
-
26944491706
-
Lymphoma cancer classification using genetic programming with SNR features
-
In: Keijzer M., OReilly U. M., Lucas S., Costa E., Soule T., editors Berlin, Berlin,: Springer
-
Hong, J. H., & Cho, S. B. (2004). Lymphoma cancer classification using genetic programming with SNR features. In M. Keijzer, U. M. OReilly, S. Lucas, E. Costa, & T. Soule (Eds.), Proceedings of the genetic programming European conference Vol. 3003. (pp. 78-88). Berlin: Springer.
-
(2004)
Proceedings of the genetic programming European conference
, vol.3003
, pp. 78-88
-
-
Hong, J.H.1
Cho, S.B.2
-
25
-
-
84875654352
-
Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies
-
Hu, T., Chen, Y. P., Kiralis, J., Collins, R. L., Wejse, C., Sirugo, G., Williams, S. M., and Moore, J. H. (2013). Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies. JAMIA, 20(4), 630-636.
-
(2013)
JAMIA
, vol.20
, Issue.4
, pp. 630-636
-
-
Hu, T.1
Chen, Y.P.2
Kiralis, J.3
Collins, R.L.4
Wejse, C.5
Sirugo, G.6
Williams, S.M.7
Moore, J.H.8
-
26
-
-
0036042222
-
Metabolomics and machine learning: Explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules
-
Kell, D. B. (2002). Metabolomics and machine learning: Explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules. Molecular Biology Reports, 29(1-2), 237-241. doi: 10.1023/A:1020342216314
-
(2002)
Molecular Biology Reports
, vol.29
, Issue.1-2
, pp. 237-241
-
-
Kell, D.B.1
-
27
-
-
84992726552
-
Estimating attributes: Analysis and extensions of RELIEF
-
In: Bergadano F., Raedt L.D., editors Catania, Italy, Catania,: Springer
-
Kononenko, I. (1994). Estimating attributes: Analysis and extensions of RELIEF. In: Bergadano, F. & Raedt, L.D. (Eds.), European conference on machine learning (pp. 171-182). Catania, Italy: Springer.
-
(1994)
European conference on machine learning
, pp. 171-182
-
-
Kononenko, I.1
-
29
-
-
0004074812
-
-
San Franciso, CA, San Franciso, CA,: Morgan Kaufmann
-
Koza, J., Bennett III, F. H., Andre, D., & Keane, M. A. (1999). Genetic Programming III: Darwinian Invention and Problem Solving Vol III. San Franciso, CA: Morgan Kaufmann.
-
(1999)
Genetic Programming III: Darwinian Invention and Problem Solving
, vol.3
-
-
Koza, J.1
Bennett III, F.H.2
Andre, D.3
Keane, M.A.4
-
30
-
-
77951623830
-
Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer
-
Kulasingam, V., Pavlou, M.P., & Diamandis, E.P. (2010). Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer. Nature reviews. Cancer, 10(5), 371-378. doi: 10.1038/nrc2831
-
(2010)
Nature reviews. Cancer
, vol.10
, Issue.5
, pp. 371-378
-
-
Kulasingam, V.1
Pavlou, M.P.2
Diamandis, E.P.3
-
31
-
-
17844394177
-
Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry
-
Listgarten, J., & Emili, A. (2005). Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry. Molecular & Cellular Proteomics, 4, 419-434. doi: 10.1074/mcp.R500005-MCP200
-
(2005)
Molecular & Cellular Proteomics
, vol.4
, pp. 419-434
-
-
Listgarten, J.1
Emili, A.2
-
32
-
-
33846651082
-
Difference detection in LC-MS data for protein biomarker discovery
-
Listgarten, J., Neal, R. M., Roweis, S. T., Wong, P., & Emili, A. (2007). Difference detection in LC-MS data for protein biomarker discovery. Bioinformatics, 23(2), 198-204. doi: 10.1093/bioinformatics/btl326
-
(2007)
Bioinformatics
, vol.23
, Issue.2
, pp. 198-204
-
-
Listgarten, J.1
Neal, R.M.2
Roweis, S.T.3
Wong, P.4
Emili, A.5
-
33
-
-
4444234496
-
Data mining techniques for cancer detection using serum proteomic profiling
-
Li, L., Tang, H., Wu, Z., Gong, J., Gruidl, M., Zou, J., Tockman, M., & Clark, R. A. (2004). Data mining techniques for cancer detection using serum proteomic profiling. Artificial Intelligence in Medicine, 32(2), 71-83. doi: 10.1016/j.artmed.2004.03.006
-
(2004)
Artificial Intelligence in Medicine
, vol.32
, Issue.2
, pp. 71-83
-
-
Li, L.1
Tang, H.2
Wu, Z.3
Gong, J.4
Gruidl, M.5
Zou, J.6
Tockman, M.7
Clark, R.A.8
-
34
-
-
0003602164
-
Feature extraction, construction and selection: A data mining perspective
-
Kluwer Acad. Publ. ISBN: 978-1-4615-5725-8
-
Liu, L., & Motoda, H. (1998). Feature extraction, construction and selection: A data mining perspective, The International Series in Engineering and Computer Science Series, Kluwer Acad. Publ. ISBN: 978-1-4615-5725-8
-
(1998)
The International Series in Engineering and Computer Science Series
-
-
Liu, L.1
Motoda, H.2
-
36
-
-
84877302617
-
The limits of p-values for biological data mining
-
Malley, J. D., Dasgupta, A., & Moore, J. H. (2013). The limits of p-values for biological data mining. BioData Mining, 6, 10-12. doi: 10.1186/1756-0381-6-10
-
(2013)
BioData Mining
, vol.6
, pp. 10-12
-
-
Malley, J.D.1
Dasgupta, A.2
Moore, J.H.3
-
37
-
-
0003971926
-
-
CRC Monographs on Statistics and Applied Probability Series, 2nd ed., Chapman and Hall, Chapman and Hall,: Taylor & Francis Group
-
Miller, A. (2002). Subset selection in regression, CRC Monographs on Statistics and Applied Probability Series, 2nd ed., Chapman and Hall: Taylor & Francis Group.
-
(2002)
Subset selection in regression
-
-
Miller, A.1
-
38
-
-
31744443319
-
Genetic programming for simultaneous feature selection and classifier design
-
Muni, D., Pal, N., & Das, J. (2006). Genetic programming for simultaneous feature selection and classifier design. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 36(1), 106-117.
-
(2006)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.36
, Issue.1
, pp. 106-117
-
-
Muni, D.1
Pal, N.2
Das, J.3
-
39
-
-
78650429699
-
Unsupervised elimination of redundant features using genetic programming
-
Mulborne, Australia, Mulborne
-
Neshatian, K., & Zhang, M. (2009). Unsupervised elimination of redundant features using genetic programming. Australasian conference on artificial intelligence, Mulborne, Australia, pp. 432-442.
-
(2009)
Australasian conference on artificial intelligence
, pp. 432-442
-
-
Neshatian, K.1
Zhang, M.2
-
40
-
-
58349113039
-
Genetic programming for feature ranking in classification problems
-
Melbourne, Australia, Melbourne
-
Neshatian, K., Zhang, M., & Andreae, P. (2008). Genetic programming for feature ranking in classification problems. Proceedings of Simulated Evolution and learning, (SEAL), Melbourne, Australia, pp. 544-554.
-
(2008)
Proceedings of Simulated Evolution and learning, (SEAL
, pp. 544-554
-
-
Neshatian, K.1
Zhang, M.2
Andreae, P.3
-
41
-
-
74649087307
-
A novel feature selection approach for biomedical data classification
-
Peng, Y., Wu, Z., & Jiang, J. (2010). A novel feature selection approach for biomedical data classification. Journal of Biomedical Informatics, 43(1), 15-23. doi: 10.1016/j.jbi.2009.07.008
-
(2010)
Journal of Biomedical Informatics
, vol.43
, Issue.1
, pp. 15-23
-
-
Peng, Y.1
Wu, Z.2
Jiang, J.3
-
42
-
-
0037116832
-
Use of proteomic patterns in serum to identify ovarian cancer
-
Petricoin, 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., & Liotta, L. A. (2002). Use of proteomic patterns in serum to identify ovarian cancer. The Lancet, 359, 572-577. doi: 10.1016/S0140-6736(02)07746-2
-
(2002)
The Lancet
, vol.359
, pp. 572-577
-
-
Petricoin, A.A.M.1
Hitt, B.A.2
Levine, P.J.3
Fusaro, V.A.4
Steinberg, S.M.5
Mills, G.B.6
Simone, C.7
Fishman, D.A.8
Kohn, E.C.9
Liotta, L.A.10
-
44
-
-
33745624543
-
Label-free semiquantitative peptide feature profiling of human breast cancer and breast disease sera via two-dimensional liquid chromatography-mass spectrometry
-
June
-
Ru, Q.C., Zhu, L. A., Silberman, J., & Shriver, C. D. (June 2006). Label-free semiquantitative peptide feature profiling of human breast cancer and breast disease sera via two-dimensional liquid chromatography-mass spectrometry. Molecular and Cellular Proteomics, 5(6), 1095-1104. doi: 10.1074/mcp.M500387-MCP200
-
(2006)
Molecular and Cellular Proteomics
, vol.5
, Issue.6
, pp. 1095-1104
-
-
Ru, Q.C.1
Zhu, L.A.2
Silberman, J.3
Shriver, C.D.4
-
45
-
-
84866840233
-
Aggressive and effective feature selection using genetic programming
-
Brisbane, Australia, Brisbane,: IEEE
-
Sandin, I., Andrade, G., Viegas, F., Madeira, D., da Rocha, L. C., Salles, T., & Gonalves, M. A. (2012). Aggressive and effective feature selection using genetic programming. Proceedings of IEEE congress on evolutionary computation, Brisbane, Australia, (pp. 1-8). IEEE.
-
(2012)
Proceedings of IEEE congress on evolutionary computation
, pp. 1-8
-
-
Sandin, I.1
Andrade, G.2
Viegas, F.3
Madeira, D.4
da Rocha, L.C.5
Salles, T.6
Gonalves, M.A.7
-
46
-
-
10244239405
-
Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens
-
Satten, G. A., Datta, S., Moura, H., Woolfitt, A. R., Carvalho, M. d. G., Carlone, G. M., De, B. K., Pavlopoulos, A., & Barr, J. R. (2004). Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens. Bioinformatics, 20(17), 3128-3136. doi: 10.1093/bioinformatics/bth372
-
(2004)
Bioinformatics
, vol.20
, Issue.17
, pp. 3128-3136
-
-
Satten, G.A.1
Datta, S.2
Moura, H.3
Woolfitt, A.R.4
Carvalho, M.D.G.5
Carlone, G.M.6
De, B.K.7
Pavlopoulos, A.8
Barr, J.R.9
-
47
-
-
0002442796
-
Machine learning in automated text categorization
-
Sebastiani, F., & Ricerche, C. N. D. (2002). Machine learning in automated text categorization. ACM Computing Surveys, 34, 1-47. doi: 10.1145/505282.505283
-
(2002)
ACM Computing Surveys
, vol.34
, pp. 1-47
-
-
Sebastiani, F.1
Ricerche, C.N.D.2
-
48
-
-
0347181849
-
A data review and re-assessment of ovarian cancer serum proteomic profiling
-
Sorace, J., & Zhan, M. (2003). A data review and re-assessment of ovarian cancer serum proteomic profiling. BMC Bioinformatics, 4(1), 24-37. doi: 10.1186/1471-2105-4-24
-
(2003)
BMC Bioinformatics
, vol.4
, Issue.1
, pp. 24-37
-
-
Sorace, J.1
Zhan, M.2
-
49
-
-
80054715383
-
Threshold-avoiding proteomics pipeline
-
Suits, F., Hoekman, B., Rosenling, T., Bischoff, R., & Horvatovich, P. (2011). Threshold-avoiding proteomics pipeline. Analytical Chemistry, 83(20), 7786-7794. doi: 10.1021/ac201332j
-
(2011)
Analytical Chemistry
, vol.83
, Issue.20
, pp. 7786-7794
-
-
Suits, F.1
Hoekman, B.2
Rosenling, T.3
Bischoff, R.4
Horvatovich, P.5
-
50
-
-
52649124295
-
A RELIEF based feature extraction algorithm
-
(SDM, Atlanta, Georgia, Atlanta
-
Sun, Y., & Wu, D. (2008). A RELIEF based feature extraction algorithm. Proceedings of SIAM international Conference on Data Mining (SDM), Atlanta, Georgia, pp. 188-195.
-
(2008)
Proceedings of SIAM international Conference on Data Mining
, pp. 188-195
-
-
Sun, Y.1
Wu, D.2
-
51
-
-
66249119022
-
Application of multiple statistical tests to enhance mass spectrometry-based biomarker discovery
-
Tan, N. C., Fisher, W. G., Rosenblatt, K. P., & Garner, H. R. (2009). Application of multiple statistical tests to enhance mass spectrometry-based biomarker discovery. BMC Bioinformatics, 10-22.
-
(2009)
BMC Bioinformatics
, pp. 10-22
-
-
Tan, N.C.1
Fisher, W.G.2
Rosenblatt, K.P.3
Garner, H.R.4
-
52
-
-
84857412355
-
Using a spike-in experiment to evaluate analysis of LC-MS data
-
Tuli, L., Tsai, T. H., Varghese, R., Xiao, J. F., Cheema, A., & Ressom, H. (2012). Using a spike-in experiment to evaluate analysis of LC-MS data. Proteome Science, 10, 10-23. doi: 10.1186/1477-5956-10-13
-
(2012)
Proteome Science
, vol.10
, pp. 10-23
-
-
Tuli, L.1
Tsai, T.H.2
Varghese, R.3
Xiao, J.F.4
Cheema, A.5
Ressom, H.6
-
54
-
-
56949107716
-
Applications of genetic programming in cancer research
-
Worzel, W. P., Yu, J., Almal, A. A., & Chinnaiyan, A. M. (2009). "Applications of genetic programming in cancer research," The International Journal of Biochemistry & Cell Biology, 41(2), 405-413. doi: 10.1016/j.biocel.2008.09.025
-
(2009)
The International Journal of Biochemistry & Cell Biology
, vol.41
, Issue.2
, pp. 405-413
-
-
Worzel, W.P.1
Yu, J.2
Almal, A.A.3
Chinnaiyan, A.M.4
-
55
-
-
84861087001
-
Software review: The ECJ toolkit
-
White, D. R. (2012). Software review: The ECJ toolkit. Genetic Programming and Evolvable machines, 13(1), 65-77. doi: 10.1007/s10710-011-9148-z
-
(2012)
Genetic Programming and Evolvable machines
, vol.13
, Issue.1
, pp. 65-77
-
-
White, D.R.1
-
56
-
-
0141738784
-
Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
-
Wu, B., Abbott, T., Fishman, D., McMurray, W., Mor, G., Stone, K., Ward, D., Williams, K., Zhao, H. (2003). Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data. Bioinformatics, 19(13), 1636-1643. doi: 10.1093/bioinformatics/btg210
-
(2003)
Bioinformatics
, vol.19
, Issue.13
, pp. 1636-1643
-
-
Wu, B.1
Abbott, T.2
Fishman, D.3
McMurray, W.4
Mor, G.5
Stone, K.6
Ward, D.7
Williams, K.8
Zhao, H.9
-
57
-
-
34247214462
-
Feature selection and molecular classification of cancer using genetic programming
-
Yu, J., Yu, J., Almal, A. A., Dhanasekaran, S. M., Ghosh, D., Worzel, W. P., Chinnaiyan, A. M. (2007). Feature selection and molecular classification of cancer using genetic programming. Neoplasia, 9(4), 292-303. doi: 10.1593/neo.07121
-
(2007)
Neoplasia
, vol.9
, Issue.4
, pp. 292-303
-
-
Yu, J.1
Yu, J.2
Almal, A.A.3
Dhanasekaran, S.M.4
Ghosh, D.5
Worzel, W.P.6
Chinnaiyan, A.M.7
-
58
-
-
84856118098
-
Esophageal cancer metabolite biomarkers detected by LC-MS and NMR methods
-
Zhang, J., Bowers, J., Liu, L., Wei, S., Gowda, G. A. N., Hammoud, Z., & Raftery, D. (2012). Esophageal cancer metabolite biomarkers detected by LC-MS and NMR methods. PLoS ONE, 7(1), e30181.
-
(2012)
PLoS ONE
, vol.7
, Issue.1
-
-
Zhang, J.1
Bowers, J.2
Liu, L.3
Wei, S.4
Gowda, G.A.N.5
Hammoud, Z.6
Raftery, D.7
|