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Volumn 10, Issue 12, 2015, Pages

Improved classification of lung cancer using radial basis function neural network with affine transforms of voss representation

Author keywords

[No Author keywords available]

Indexed keywords

BRG1 PROTEIN; CYCLIN DEPENDENT KINASE INHIBITOR 2A; K RAS PROTEIN; PROTEIN KINASE LKB1; PROTEIN P53; TUMOR MARKER;

EID: 84956549612     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0143542     Document Type: Article
Times cited : (22)

References (64)
  • 1
    • 33747623281 scopus 로고    scopus 로고
    • Adjuvant treatment in non-small cell lung cancer: Where are we now?
    • Juergens RA, Brahmer JR (2006) Adjuvant treatment in non-small cell lung cancer: Where are we now? Natl Compr. Canc. Netw. 4: 595-600.
    • (2006) Natl Compr. Canc. Netw , vol.4 , pp. 595-600
    • Juergens, R.A.1    Brahmer, J.R.2
  • 2
    • 84892411317 scopus 로고    scopus 로고
    • Screening for Lung Cancer with lowdose computed tomograph: A review of current status
    • Marshall HM, Bowman RV, Vang IA, Fong KM, Berg CD (2013) Screening for Lung Cancer with lowdose computed tomograph: A review of current status. Journal of thoracic disease, 5 (Suppl 5), S524-S539. doi: 10.3978/j.issn.2072-1439.2013.09.06
    • (2013) Journal of Thoracic Disease , vol.5 , pp. S524-S539
    • Marshall, H.M.1    Bowman, R.V.2    Vang, I.A.3    Fong, K.M.4    Berg, C.D.5
  • 4
    • 0019410359 scopus 로고
    • Time trends in lung cancer mortality among nonsmokers and a note on passive smoking
    • Garfinkel L (1981) Time trends in lung cancer mortality among nonsmokers and a note on passive smoking. J. Natl. Cancer Inst. 66: 1061-1066.
    • (1981) J. Natl. Cancer Inst , vol.66 , pp. 1061-1066
    • Garfinkel, L.1
  • 6
    • 84859611365 scopus 로고    scopus 로고
    • Protein Signature of Lung Cancer Tissues
    • Mehan MR, Ayers D, Thirstrup D, Xiong W, Ostroff RM (2012) Protein Signature of Lung Cancer Tissues. PLoS ONE 7(4): e35157. doi: 10.1371/journal.pone.0035157
    • (2012) PLoS ONE , vol.7 , Issue.4 , pp. e35157
    • Mehan, M.R.1    Ayers, D.2    Thirstrup, D.3    Xiong, W.4    Ostroff, R.M.5
  • 8
    • 84858820763 scopus 로고    scopus 로고
    • A classification method based on principal components of seldi Spectra to Diagnose of Lung Adenocarcinoma
    • Lin Q, Peng Q, Yao F, Pan XF, Xiong LW, Wang Y, et al. (2012) A Classification Method Based on Principal Components of SELDI Spectra to Diagnose of Lung Adenocarcinoma. PLoS ONE 7(3): e34457. doi: 10.1371/journal.pone.0034457
    • (2012) PLoS ONE , vol.7 , Issue.3 , pp. e34457
    • Lin, Q.1    Peng, Q.2    Yao, F.3    Pan, X.F.4    Xiong, L.W.5    Wang, Y.6
  • 10
    • 85027958983 scopus 로고    scopus 로고
    • Targeted therapies: One step closer to drugging p53
    • Razzak M (2013) Targeted therapies: one step closer to drugging p53. Nature Reviews Clinical Oncology 10(5): 246-246. doi: 10.1038/nrclinonc.2013.43
    • (2013) Nature Reviews Clinical Oncology , vol.10 , Issue.5 , pp. 246
    • Razzak, M.1
  • 12
    • 1142263111 scopus 로고    scopus 로고
    • Classification of individual lung cancer cell lines based on DNA methylation markers: Use of linear discriminant analysis and artificial neural networks
    • Marchevsky AM, Tsou JA, Laird-Offringa IA (2004) Classification of individual lung cancer cell lines based on DNA methylation markers: use of linear discriminant analysis and artificial neural networks. J. Mol. Diagn. 6:28-36.
    • (2004) J. Mol. Diagn , vol.6 , pp. 28-36
    • Marchevsky, A.M.1    Tsou, J.A.2    Laird-Offringa, I.A.3
  • 13
    • 0141855285 scopus 로고    scopus 로고
    • Decision tree classification proteins identified by mass spectrometry of blood serum samples from people with and without lung cancer
    • Markey MK, Tourassi GD, Floyed CE Jr (2003) Decision tree classification proteins identified by mass spectrometry of blood serum samples from people with and without lung cancer, Proteomics 3: 1678-1679.
    • (2003) Proteomics , vol.3 , pp. 1678-1679
    • Markey, M.K.1    Tourassi, G.D.2    Floyed, C.E.3
  • 14
    • 84874691692 scopus 로고    scopus 로고
    • Improved classification of lung cancer tumors based on structural and physicochemical properties of proteins using data mining models
    • Ramani RG, Jacob SG (2013) Improved Classification of Lung Cancer Tumors Based on Structural and Physicochemical Properties of Proteins Using Data Mining Models, PLoS ONE 8(3): e58772. doi: 10.1371/journal.pone.0058772
    • (2013) PLoS ONE , vol.8 , Issue.3 , pp. e58772
    • Ramani, R.G.1    Jacob, S.G.2
  • 15
    • 68749107206 scopus 로고    scopus 로고
    • Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method
    • Guan P, Huang D, He M, Zhou B (2009) Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method. Journal of Experimental & Clinical Cancer Research, 28: 103. doi: 10.1186/1756-9966-28-103
    • (2009) Journal of Experimental & Clinical Cancer Research , vol.28 , pp. 103
    • Guan, P.1    Huang, D.2    He, M.3    Zhou, B.4
  • 16
    • 84883304854 scopus 로고    scopus 로고
    • Identification of candidate genes for lung cancer somatic mutation test kits
    • Chen Y, Shi JX, Pan XF, Feng J, Zhao H (2013) Identification of candidate genes for lung cancer somatic mutation test kits. Genetics and molecular biology 36(3): 455-464. doi: 10.1590/S1415-47572013000300022
    • (2013) Genetics and Molecular Biology , vol.36 , Issue.3 , pp. 455-464
    • Chen, Y.1    Shi, J.X.2    Pan, X.F.3    Feng, J.4    Zhao, H.5
  • 17
    • 84924402069 scopus 로고    scopus 로고
    • Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features
    • Adetiba E, Olugbara OO (2015) Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features. The Scientific World Journal Vol. 2015(786013):1-17 http://dx.doi.org/10.1155/2015/786013.
    • (2015) The Scientific World Journal , vol.2015 , pp. 1-17
    • Adetiba, E.1    Olugbara, O.O.2
  • 20
    • 84903698653 scopus 로고    scopus 로고
    • A brief review: The z-curve theory and its application in genome analysis
    • Zhang R, Zhang CT (2014) A brief review: The z-curve theory and its application in genome analysis. Current genomics 15(2): 78. doi: 10.2174/1389202915999140328162433
    • (2014) Current Genomics , vol.15 , Issue.2 , pp. 78
    • Zhang, R.1    Zhang, C.T.2
  • 21
    • 67650064594 scopus 로고    scopus 로고
    • The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes
    • Pruitt KD, Harrow J, Harte RA, Wallin C, Diekhans M, Maglott DR, et al. (2009) The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes. Genome research 19(7): 1316-1323. doi: 10.1101/gr.080531.108
    • (2009) Genome Research , vol.19 , Issue.7 , pp. 1316-1323
    • Pruitt, K.D.1    Harrow, J.2    Harte, R.A.3    Wallin, C.4    Diekhans, M.5    Maglott, D.R.6
  • 23
    • 84944441135 scopus 로고    scopus 로고
    • Accessed 25 June
    • COSMIC (Catalogue of Somatic Mutations in Cancer). Available: http://cancer.sanger.ac.uk/cosmic/browse/tissue#sn=lung&ss=all&hn=carcinoma&sh=all&in=t&src=tissue&all-data=n. Accessed 25 June 2015.
    • (2015) COSMIC (Catalogue of Somatic Mutations in Cancer)
  • 25
    • 0029007901 scopus 로고
    • Homozygous deletions at chromosome 9p21 and mutation analysis of p16 and p15 in microdissected primary non-small cell lung cancers
    • Packenham JP, Taylor JA, White CM, Anna CH, Barrett JC, Devereux TR (1995) Homozygous deletions at chromosome 9p21 and mutation analysis of p16 and p15 in microdissected primary non-small cell lung cancers. Clinical cancer research 1(7): 687-690.
    • (1995) Clinical Cancer Research , vol.1 , Issue.7 , pp. 687-690
    • Packenham, J.P.1    Taylor, J.A.2    White, C.M.3    Anna, C.H.4    Barrett, J.C.5    Devereux, T.R.6
  • 27
    • 0023707058 scopus 로고
    • Incidence and possible clinical significance of K-ras oncogene activation in adenocarcinoma of the human lung
    • Rodenhuis S, Slebos RJ, Boot AJ, Evers SG, Mooi WJ, Wagenaar SS, et al. (1988) Incidence and possible clinical significance of K-ras oncogene activation in adenocarcinoma of the human lung. Cancer Research 48(20): 5738-5741.
    • (1988) Cancer Research , vol.48 , Issue.20 , pp. 5738-5741
    • Rodenhuis, S.1    Slebos, R.J.2    Boot, A.J.3    Evers, S.G.4    Mooi, W.J.5    Wagenaar, S.S.6
  • 29
    • 38449107131 scopus 로고    scopus 로고
    • Nras and Kras mutation in Japanese lung cancer patients: Genotyping analysis using LightCycler
    • Sasaki H, Okuda K, Kawano O, Endo K, Yukiue H, Yokoyama T, et al. (2007) Nras and Kras mutation in Japanese lung cancer patients: Genotyping analysis using LightCycler. Oncology reports 18(3): 623-628.
    • (2007) Oncology Reports , vol.18 , Issue.3 , pp. 623-628
    • Sasaki, H.1    Okuda, K.2    Kawano, O.3    Endo, K.4    Yukiue, H.5    Yokoyama, T.6
  • 31
    • 33749518282 scopus 로고    scopus 로고
    • Mathematical descriptors of DNA sequences: Development and applications
    • Nandy A, Harle M, Basak SC (2006) Mathematical descriptors of DNA sequences: development and applications. Arkivoc 9: 211-238.
    • (2006) Arkivoc , vol.9 , pp. 211-238
    • Nandy, A.1    Harle, M.2    Basak, S.C.3
  • 34
    • 0000204878 scopus 로고
    • Evolution of long-range fractal correlations and 1/f noise in DNA base sequences
    • Voss RF (1992) Evolution of long-range fractal correlations and 1/f noise in DNA base sequences. Physical review letters 68(25): 3805.
    • (1992) Physical Review Letters , vol.68 , Issue.25 , pp. 3805
    • Voss, R.F.1
  • 36
    • 84879554643 scopus 로고    scopus 로고
    • SNR of DNA sequences mapped by general affine transformations of the indicator sequences
    • Shao J, Yan X, Shao S (2013) SNR of DNA sequences mapped by general affine transformations of the indicator sequences. Journal of mathematical biology 67(2): 433-451. doi: 10.1007/s00285-012-0564-3
    • (2013) Journal of Mathematical Biology , vol.67 , Issue.2 , pp. 433-451
    • Shao, J.1    Yan, X.2    Shao, S.3
  • 37
    • 0037399772 scopus 로고    scopus 로고
    • Large scale features in DNA genomic signals
    • Cristea PD (2003) Large scale features in DNA genomic signals. Signal Processing, 83(4):, 871-888.
    • (2003) Signal Processing , vol.83 , Issue.4 , pp. 871-888
    • Cristea, P.D.1
  • 41
    • 84939557932 scopus 로고    scopus 로고
    • Experimentation using short-Term spectral features for secure mobile internet voting authentication
    • 564904
    • Thakur S, Adetiba E, Olugbara OO, Millham R (2015) Experimentation Using Short-Term Spectral Features for Secure Mobile Internet Voting Authentication. Mathematical Problems in Engineering, Volume 2015(564904): 1-21.
    • (2015) Mathematical Problems in Engineering , vol.2015 , pp. 1-21
    • Thakur, S.1    Adetiba, E.2    Olugbara, O.O.3    Millham, R.4
  • 46
    • 0036565011 scopus 로고    scopus 로고
    • Face recognition with radial basis function (RBF) neural networks
    • Er MJ, Wu S., Lu J, Toh HL (2002) Face recognition with radial basis function (RBF) neural networks. IEEE Transactions Neural Networks, on, 13(3): 697-710.
    • (2002) IEEE Transactions Neural Networks, on , vol.13 , Issue.3 , pp. 697-710
    • Er, M.J.1    Wu, S.2    Lu, J.3    Toh, H.L.4
  • 47
    • 0032146239 scopus 로고    scopus 로고
    • Artificial neural networks (the multilayer perceptron)-A review of applications in the atmospheric sciences
    • Gardner MW, Dorling SR (1998) Artificial neural networks (the multilayer perceptron)-A review of applications in the atmospheric sciences. Atmospheric environment, 32(14): 2627-2636.
    • (1998) Atmospheric Environment , vol.32 , Issue.14 , pp. 2627-2636
    • Gardner, M.W.1    Dorling, S.R.2
  • 50
    • 70349647885 scopus 로고    scopus 로고
    • A comparison of RBF neural network training algorithms for inertial sensor based terrain classification
    • Kurban T, Beşdok E (2009) A comparison of RBF neural network training algorithms for inertial sensor based terrain classification. Sensors 9(8): 6312-6329. doi: 10.3390/s90806312
    • (2009) Sensors , vol.9 , Issue.8 , pp. 6312-6329
    • Kurban, T.1    Beşdok, E.2
  • 52
    • 13844266749 scopus 로고    scopus 로고
    • Data classification with radial basis function networks based on a novel kernel density estimation algorithm
    • Oyang YJ, Hwang SC, Ou YY, Chen CY, Chen ZW (2005) Data classification with radial basis function networks based on a novel kernel density estimation algorithm. IEEE Trans. Neural Netw 16: 225-236.
    • (2005) IEEE Trans. Neural Netw , vol.16 , pp. 225-236
    • Oyang, Y.J.1    Hwang, S.C.2    Ou, Y.Y.3    Chen, C.Y.4    Chen, Z.W.5
  • 53
    • 84924360187 scopus 로고    scopus 로고
    • Estimating an optimal backpropagation algorithm for training an ANN with the EGFR exon 19 nucleotide sequence: An electronic diagnostic basis for non-small cell lung cancer (NSCLC)
    • Adetiba E, Ekeh JC, Matthews VO, Daramola SA, Eleanya MEU (2011) Estimating an optimal backpropagation algorithm for training an ANN with the EGFR exon 19 nucleotide sequence: An electronic diagnostic basis for non-small cell lung cancer (NSCLC). Journal of Emerging Trends in Engineering and Applied Sciences 2(1): 74-78.
    • (2011) Journal of Emerging Trends in Engineering and Applied Sciences , vol.2 , Issue.1 , pp. 74-78
    • Adetiba, E.1    Ekeh, J.C.2    Matthews, V.O.3    Daramola, S.A.4    Meu, E.5
  • 56
    • 84924410536 scopus 로고    scopus 로고
    • Ensembling of EGFR mutations' based artificial neural networks for improved diagnosis of non-small cell lung cancer
    • Adetiba E, Ibikunle FA (2011) Ensembling of EGFR mutations' based artificial neural networks for improved diagnosis of non-small cell lung cancer. International Journal of Computer Applications 20 (7): 39-47.
    • (2011) International Journal of Computer Applications , vol.20 , Issue.7 , pp. 39-47
    • Adetiba, E.1    Ibikunle, F.A.2
  • 57
    • 0028428006 scopus 로고
    • A robust backpropagation learning algorithm for function approximation
    • Chen DS, Jain RC (1994) A robust backpropagation learning algorithm for function approximation. IEEE Trans. Neural Networks 5: 467-479.
    • (1994) IEEE Trans. Neural Networks , vol.5 , pp. 467-479
    • Chen, D.S.1    Jain, R.C.2
  • 58
    • 0003381688 scopus 로고
    • A learning algorithm for radial basis function network: With the capacity of adding and pruning neurons
    • Cheng YH, Lin CS (1994) A learning algorithm for radial basis function network: With the capacity of adding and pruning neurons. In Proc., ICNN '94, 2: 797-801.
    • (1994) Proc., ICNN '94 , vol.2 , pp. 797-801
    • Cheng, Y.H.1    Lin, C.S.2
  • 61
    • 1542400030 scopus 로고    scopus 로고
    • Predicting subcellular localization of proteins using machine-learned classifiers
    • Lu Z, Szafron D, Greiner R, Lu P, Wishart DS, Poulin B, et al. (2004) Predicting subcellular localization of proteins using machine-learned classifiers. Bioinformatics 20(4): 547-556.
    • (2004) Bioinformatics , vol.20 , Issue.4 , pp. 547-556
    • Lu, Z.1    Szafron, D.2    Greiner, R.3    Lu, P.4    Wishart, D.S.5    Poulin, B.6
  • 64
    • 33846894344 scopus 로고    scopus 로고
    • Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
    • Zou KH, O'Malley AJ, Mauri L (2007) Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 115(5): 654-657.
    • (2007) Circulation , vol.115 , Issue.5 , pp. 654-657
    • Zou, K.H.1    O'Malley, A.J.2    Mauri, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.