메뉴 건너뛰기




Volumn 2005, Issue , 2005, Pages

Utilizing artificial neural networks to elucidate serum biomarker patterns which discriminate between clinical stages in melanoma

Author keywords

[No Author keywords available]

Indexed keywords

BIOMARKERS; DATA MINING; PATIENT TREATMENT; PATTERN RECOGNITION; PROTEINS; TUMORS;

EID: 33847203996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cibcb.2005.1594954     Document Type: Conference Paper
Times cited : (5)

References (24)
  • 1
    • 0035860969 scopus 로고    scopus 로고
    • Personalized molecular medicine
    • L.A. Liotta, E.C. Kohn, and E.F. Petricoin, "Personalized molecular medicine," JAMA, 286, pp.2211-2214, 2001.
    • (2001) JAMA , vol.286 , pp. 2211-2214
    • Liotta, L.A.1    Kohn, E.C.2    Petricoin, E.F.3
  • 2
    • 0037116832 scopus 로고    scopus 로고
    • Use of proteomic patterns in serum to identify ovarian cancer
    • E.F. Petricoin et al., "Use of proteomic patterns in serum to identify ovarian cancer," Lancet, 16:359, pp.572-577, 2002.
    • (2002) Lancet , vol.16 , Issue.359 , pp. 572-577
    • Petricoin, E.F.1
  • 4
    • 0037381236 scopus 로고    scopus 로고
    • Mass spectrometry-based diagnostics: The upcoming revolution in disease detection
    • E.F. Petricoin, and L.A. Liotta, "Mass spectrometry-based diagnostics: the upcoming revolution in disease detection," Clin. Chem., 49:4, pp.533-534, 2003.
    • (2003) Clin. Chem , vol.49 , Issue.4 , pp. 533-534
    • Petricoin, E.F.1    Liotta, L.A.2
  • 5
    • 33644897282 scopus 로고    scopus 로고
    • Proteomic analysis of human bladder tissue using SELDI approach following microdissection techniques
    • R.C Krieg, N.T. Gaisa, C.P. Paweletz, and R. Knuechel, "Proteomic analysis of human bladder tissue using SELDI approach following microdissection techniques," Methods Mol. Biol., 293, pp.255-267, 2005.
    • (2005) Methods Mol. Biol , vol.293 , pp. 255-267
    • Krieg, R.C.1    Gaisa, N.T.2    Paweletz, C.P.3    Knuechel, R.4
  • 6
    • 22044458377 scopus 로고    scopus 로고
    • Identification of biomarkers of arsenic exposure and metabolism in urine using SELDI technology
    • L.E. Moore, et al., "Identification of biomarkers of arsenic exposure and metabolism in urine using SELDI technology," J. Biochem. Mol. Toxicol., 19:3, pp.176, 2005.
    • (2005) J. Biochem. Mol. Toxicol , vol.19 , Issue.3 , pp. 176
    • Moore, L.E.1
  • 7
    • 20844446776 scopus 로고    scopus 로고
    • Differential protein expression profiles of gastric epithelial cells following Helicobacter pylori infection using ProteinChips
    • S. Das, et al., "Differential protein expression profiles of gastric epithelial cells following Helicobacter pylori infection using ProteinChips," J. Proteome. Res., 4:3, pp.920-930, 2005.
    • (2005) J. Proteome. Res , vol.4 , Issue.3 , pp. 920-930
    • Das, S.1
  • 9
    • 18344396961 scopus 로고    scopus 로고
    • An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers
    • G. Ball, et al., "An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers," Bioinformatics, 18:3, pp.395-404, 2002.
    • (2002) Bioinformatics , vol.18 , Issue.3 , pp. 395-404
    • Ball, G.1
  • 10
    • 12444337492 scopus 로고    scopus 로고
    • A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell liner exposed to Paclitaxel and Doxorubicin under in vitro condition
    • S. Mian, et al., "A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell liner exposed to Paclitaxel and Doxorubicin under in vitro condition," Proteomics, 3, pp. 1725-1737, 2003.
    • (2003) Proteomics , vol.3 , pp. 1725-1737
    • Mian, S.1
  • 11
    • 19844367873 scopus 로고    scopus 로고
    • Current developments in the analysis of proteomic data: Artificial neural network data mining techniques for the identification of proteomic biomarkers related to breast cancer
    • L.J. Lancashire, S. Mian, I.O. Ellis, and R.C. Rees, "Current developments in the analysis of proteomic data: Artificial neural network data mining techniques for the identification of proteomic biomarkers related to breast cancer, Current Proteomics, 2, pp. 15-29, 2005.
    • (2005) Current Proteomics , vol.2 , pp. 15-29
    • Lancashire, L.J.1    Mian, S.2    Ellis, I.O.3    Rees, R.C.4
  • 12
    • 19544377389 scopus 로고    scopus 로고
    • Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis
    • L. Lancashire, O. Schmid, H. Shah, and G. Ball, "Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis," Bioinformatics, 21, pp.2191-2199, 2005.
    • (2005) Bioinformatics , vol.21 , pp. 2191-2199
    • Lancashire, L.1    Schmid, O.2    Shah, H.3    Ball, G.4
  • 13
    • 24644434436 scopus 로고    scopus 로고
    • Serum proteomic fingerprinting discriminates between clinical stages and predicts disease progression in melanoma patients
    • S. Mian, et al, "Serum proteomic fingerprinting discriminates between clinical stages and predicts disease progression in melanoma patients," J. Clin. Oncoogy., 23, pp.5088-5093, 2005.
    • (2005) J. Clin. Oncoogy , vol.23 , pp. 5088-5093
    • Mian, S.1
  • 14
    • 0142155223 scopus 로고    scopus 로고
    • Prediction of outcome in acute lowergastrointestinal haemorrhage based on an artificial neural network; internal and external validation of a predictive model
    • A. Das. et al, "Prediction of outcome in acute lowergastrointestinal haemorrhage based on an artificial neural network; internal and external validation of a predictive model," Lancet, 362, pp. 1261-1266, 2003.
    • (2003) Lancet , vol.362 , pp. 1261-1266
    • Das, A.1
  • 15
    • 0034954414 scopus 로고    scopus 로고
    • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
    • J. Khan, et al, "Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks," Nat. Med., 7, pp. 673-679, 2001.
    • (2001) Nat. Med , vol.7 , pp. 673-679
    • Khan, J.1
  • 16
    • 0035123210 scopus 로고    scopus 로고
    • Artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer
    • J. T. Batuello, et al., "Artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer," Urology, 57, 481-485, 2001.
    • (2001) Urology , vol.57 , pp. 481-485
    • Batuello, J.T.1
  • 17
    • 0038024167 scopus 로고    scopus 로고
    • Artificial neural networks for decision-making in urologic oncology
    • T. Anagnostou, et al, "Artificial neural networks for decision-making in urologic oncology," Eur. Urol., 43, 596-603.
    • Eur. Urol , vol.43 , pp. 596-603
    • Anagnostou, T.1
  • 18
    • 0037486916 scopus 로고    scopus 로고
    • Analyzing tumor gene expression profiles
    • C. Peterson, and M. Ringner, "Analyzing tumor gene expression profiles," Artif. Intell. Med., 28, 59-74, 2003.
    • (2003) Artif. Intell. Med , vol.28 , pp. 59-74
    • Peterson, C.1    Ringner, M.2
  • 19
    • 0034732862 scopus 로고    scopus 로고
    • Identification of non-linear influences on the seasonal ozone dose response of sensitive and resistant clover clones using artificial neural networks
    • G.R. Ball, et al., "Identification of non-linear influences on the seasonal ozone dose response of sensitive and resistant clover clones using artificial neural networks," Ecol. Model., 129, 153-168, 2000.
    • (2000) Ecol. Model , vol.129 , pp. 153-168
    • Ball, G.R.1
  • 20
    • 0032146619 scopus 로고    scopus 로고
    • Understanding artificial neural networks and exploring their potential applications for the practicing urologist
    • J. T. Wei, et al., "Understanding artificial neural networks and exploring their potential applications for the practicing urologist," Urology, 52, 161-172, 1998.
    • (1998) Urology , vol.52 , pp. 161-172
    • Wei, J.T.1
  • 21
    • 0029634885 scopus 로고    scopus 로고
    • Towards unravelling the complex interactions between microclimate ozone dose and ozone injury in clover
    • G. R. Balls, et al., "Towards unravelling the complex interactions between microclimate ozone dose and ozone injury in clover," Water Air Soil Poll., 85, 1467-1472, 1996.
    • (1996) Water Air Soil Poll , vol.85 , pp. 1467-1472
    • Balls, G.R.1
  • 22
    • 0008695180 scopus 로고
    • Artificial neural networks and breast-cancer prognosis
    • C. Desilva, et al., "Artificial neural networks and breast-cancer prognosis," Aust. Comput. J., 26, 78-81, 1994.
    • (1994) Aust. Comput. J , vol.26 , pp. 78-81
    • Desilva, C.1
  • 23
    • 33847225029 scopus 로고    scopus 로고
    • D.E. Rumelhart, and J.L. McClelland, Parallel distribution processing: Explorations in the microstructure of cognition, 1: Foundations. MIT Press. Cambridge, MA, USA, 1986.
    • D.E. Rumelhart, and J.L. McClelland, "Parallel distribution processing: Explorations in the microstructure of cognition, Volume 1: Foundations. MIT Press. Cambridge, MA, USA, 1986.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.