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Volumn 7 VOLS, Issue , 2005, Pages 4818-4821

Integration of clinical information and gene expression profiles for prediction of chemo-response for ovarian cancer

Author keywords

[No Author keywords available]

Indexed keywords

CHEMO-RESPONSE; CLINICAL INFORMATION; GENE EXPRESSION; OVARIAN CANCER; SUPPORT VECTOR MACHINE CLASSIFIER;

EID: 33846907544     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (19)
  • 1
    • 0142151167 scopus 로고    scopus 로고
    • Improving Reliability of Gene Selection from Microarray Functional Genomics Data
    • September
    • Li M. Fu, Eun Seog Youn, "Improving Reliability of Gene Selection from Microarray Functional Genomics Data", IEEE trans. Information Technology in Biomedicine. Vol. 7, No. 3, September 2003. pp191-196.
    • (2003) IEEE trans. Information Technology in Biomedicine , vol.7 , Issue.3 , pp. 191-196
    • Li, M.F.1    Seog Youn, E.2
  • 4
    • 2942534096 scopus 로고    scopus 로고
    • Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes
    • June
    • Jennifier Pittman, Eric Huang, et al. "Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes", The National Academy of Sciences of the USA, vol.101, no.22 June, 2004, pp. 8431-8436.
    • (2004) The National Academy of Sciences of the USA , vol.101 , Issue.22 , pp. 8431-8436
    • Pittman, J.1    Huang, E.2
  • 5
    • 0142121516 scopus 로고    scopus 로고
    • Exploration, Normalization, and Summaries of High Density Oligonucleotide Array Probe Level Data
    • Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, et al. "Exploration, Normalization, and Summaries of High Density Oligonucleotide Array Probe Level Data", Biostatistics, 4(2), 2003, pp. 249-264.
    • (2003) Biostatistics , vol.4 , Issue.2 , pp. 249-264
    • Irizarry, R.A.1    Hobbs, B.2    Collin, F.3    Beazer-Barclay, Y.D.4    Antonellis, K.J.5    Scherf, U.6
  • 6
    • 0030305457 scopus 로고    scopus 로고
    • A Language for Data Analysis and Graphics
    • Ihaka R, Gentleman R, "A Language for Data Analysis and Graphics", J. Comput. Graph. Stat, 5, 1996, pp. 299-314.
    • (1996) J. Comput. Graph. Stat , vol.5 , pp. 299-314
    • Ihaka, R.1    Gentleman, R.2
  • 7
    • 0037316303 scopus 로고    scopus 로고
    • A Comparison of Normalization Methods for High Density Oligonucleotide Array Data Based on Variance and Bias
    • Bolstad BM, Irizarry RA, Astrand M, Speed TP, "A Comparison of Normalization Methods for High Density Oligonucleotide Array Data Based on Variance and Bias", Bioinformatics, 19, 2003, pp. 185-193.
    • (2003) Bioinformatics , vol.19 , pp. 185-193
    • Bolstad, B.M.1    Irizarry, R.A.2    Astrand, M.3    Speed, T.P.4
  • 8
    • 0035543090 scopus 로고    scopus 로고
    • Serum Protein Profiles of Patients with Pancreatic Cancer and chronic Pancreatitis: Searching for a Diagnostic Protein Pattern
    • Valerio A, Basso D, Mazza S, Baldo G, et al, "Serum Protein Profiles of Patients with Pancreatic Cancer and chronic Pancreatitis: Searching for a Diagnostic Protein Pattern", Rapid Commun Mass Spectrum 2001; 15(24): 2420-2425.
    • (2001) Rapid Commun Mass Spectrum , vol.15 , Issue.24 , pp. 2420-2425
    • Valerio, A.1    Basso, D.2    Mazza, S.3    Baldo, G.4
  • 9
    • 4444234496 scopus 로고    scopus 로고
    • Data Mining Techniques for Cancer Detection Using Serum Proteomic Profiling
    • Lihua Li, Hong Tang, et al, "Data Mining Techniques for Cancer Detection Using Serum Proteomic Profiling", Artificial Intelligence in Medicine, 2004, 32, pp 71-83.
    • (2004) Artificial Intelligence in Medicine , vol.32 , pp. 71-83
    • Lihua, L.1    Tang, H.2
  • 11
    • 33846915510 scopus 로고    scopus 로고
    • Liu H, motoda h, Feature Selection for Knowledge Discovery and Data Mining, Boston: Kluwer Academic Publishers; 1998.
    • Liu H, motoda h, "Feature Selection for Knowledge Discovery and Data Mining", Boston: Kluwer Academic Publishers; 1998.
  • 12
    • 13244289932 scopus 로고    scopus 로고
    • Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancer
    • Virginie M Aris,Michael J Cody, Jeff Cheng, et al. "Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancer", BMC Bioinformatics. 2004; 5: 185
    • (2004) BMC Bioinformatics , vol.5 , pp. 185
    • Aris, V.M.1    Cody, M.J.2    Cheng, J.3
  • 13
    • 0036791428 scopus 로고    scopus 로고
    • Boosted Decision Tree Analysis of Surface enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles Discriminates Prostate Cancer from Noncancer Patients
    • Qu Y, adam B.L, Yasui Y, Ward M, Cazares LH, Schellhammer PF et al, "Boosted Decision Tree Analysis of Surface enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles Discriminates Prostate Cancer from Noncancer Patients", Clin Chem 2002, 48(10), 1835-1843
    • (2002) Clin Chem , vol.48 , Issue.10 , pp. 1835-1843
    • Qu, Y.1    adam, B.L.2    Yasui, Y.3    Ward, M.4    Cazares, L.H.5    Schellhammer, P.F.6
  • 16
    • 0036324715 scopus 로고    scopus 로고
    • Li J, Zhang Z, Rosenzweig j, Wang YY, Chan DW, Proteomics and bioinformatics approaches for indentification of serum biomarkers to detect breast cancer, Clin Chem 2002, 48(8):1296-1304.
    • Li J, Zhang Z, Rosenzweig j, Wang YY, Chan DW, "Proteomics and bioinformatics approaches for indentification of serum biomarkers to detect breast cancer", Clin Chem 2002, 48(8):1296-1304.
  • 19
    • 33846922462 scopus 로고    scopus 로고
    • Data Mining: Practical machine learining Tools and Techniques with Java Implementations
    • Ian h. Witten, Eibe Frank, "Data Mining: Practical machine learining Tools and Techniques with Java Implementations", Academic Press, 2000
    • (2000) Academic Press
    • Witten, I.H.1    Frank, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.