{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T22:52:51Z","timestamp":1792968771153,"version":"4.5.0"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2005,1,20]],"date-time":"2005-01-20T00:00:00Z","timestamp":1106179200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0\/"},{"start":{"date-parts":[[2005,1,20]],"date-time":"2005-01-20T00:00:00Z","timestamp":1106179200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                        <jats:title>Background<\/jats:title>\n                        <jats:p>Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory, visualisation-driven approaches. Such approaches should satisfy the following factors: Support for intuitive cluster visualisation, user-friendly and robust application, computational efficiency and generation of biologically meaningful outcomes. This research assesses a relaxation method for non-linear mapping that addresses these concerns. Its applications to gene expression and protein-protein interaction data analyses are investigated<\/jats:p>\n                     <\/jats:sec><jats:sec>\n                        <jats:title>Results<\/jats:title>\n                        <jats:p>Publicly available expression data originating from leukaemia, round blue-cell tumours and Parkinson disease studies were analysed. The method distinguished relevant clusters and critical analysis areas. The system does not require assumptions about the inherent class structure of the data, its mapping process is controlled by only one parameter and the resulting transformations offer intuitive, meaningful visual displays. Comparisons with traditional mapping models are presented. As a way of promoting potential, alternative applications of the methodology presented, an example of exploratory data analysis of interactome networks is illustrated. Data from the <jats:italic>C. elegans<\/jats:italic> interactome were analysed. Results suggest that this method might represent an effective solution for detecting key network hubs and for clustering biologically meaningful groups of proteins.<\/jats:p>\n                     <\/jats:sec><jats:sec>\n                        <jats:title>Conclusion<\/jats:title>\n                        <jats:p>A relaxation method for non-linear mapping provided the basis for visualisation-driven analyses using different types of data. This study indicates that such a system may represent a user-friendly and robust approach to exploratory data analysis. It may allow users to gain better insights into the underlying data structure, detect potential outliers and assess assumptions about the cluster composition of the data.<\/jats:p>\n                     <\/jats:sec>","DOI":"10.1186\/1471-2105-6-13","type":"journal-article","created":{"date-parts":[[2005,1,20]],"date-time":"2005-01-20T17:30:16Z","timestamp":1106242216000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Non-linear mapping for exploratory data analysis in functional genomics"],"prefix":"10.1186","volume":"6","author":[{"given":"Francisco","family":"Azuaje","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alban","family":"Chesneau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2005,1,20]]},"reference":[{"key":"338_CR1","first-page":"1","volume":"64","author":"G Parmigiani","year":"2004","unstructured":"Parmigiani G, Garrett E, Anbazhagan R, Gabrielson E: A statistical framework for expression-based molecular classification in cancer. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2004, 64: 1\u201320.","journal-title":"Journal of the Royal Statistical Society: Series B (Statistical Methodology)"},{"issue":"1","key":"338_CR2","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1093\/bib\/4.1.31","volume":"4","author":"F Azuaje","year":"2003","unstructured":"Azuaje F: Clustering-based approaches to discovering and visualizing expression patterns. Briefings in Bioinformatics 2003, 4(1):31\u201342.","journal-title":"Briefings in Bioinformatics"},{"issue":"3","key":"338_CR3","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.1073\/pnas.0237338100","volume":"100","author":"AW Rives","year":"2003","unstructured":"Rives AW, Galitsli T: Modular organization of cellular networks. Proc Natl Acad Sci U S A 2003, 100(3):1128\u20131133. 10.1073\/pnas.0237338100","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"3","key":"338_CR4","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1093\/bioinformatics\/btg415","volume":"20","author":"N Przulj","year":"2004","unstructured":"Przulj N, Wigle DA, Jurisica I: Functional topology in a network of protein interactions. Bioinformatics 2004, 20(3):340\u2013348. 10.1093\/bioinformatics\/btg415","journal-title":"Bioinformatics"},{"key":"338_CR5","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1038\/nature02555","volume":"430","author":"JD Han","year":"2004","unstructured":"Han JD, Bertin N, Hao T, Goldberg DS, Berriz GF, Zhang LV, Dupuy D, Walhout AJ, Cusick ME, Roth FP, Vidal M: Evidence for dynamically organized modularity in the yeast protein-protein interaction network. Nature 2004, 430: 88\u201393. 10.1038\/nature02555","journal-title":"Nature"},{"issue":"10","key":"338_CR6","doi-asserted-by":"publisher","first-page":"6562","DOI":"10.1073\/pnas.102102699","volume":"99","author":"C Ambroise","year":"2002","unstructured":"Ambroise C, McLachlan GJ: Selection bias in gene extraction on the basis of microarray gene-expression data:. Proc Natl Acad Sci U S A 2002, 99(10):6562\u20136566. 10.1073\/pnas.102102699","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"1","key":"338_CR7","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1093\/jnci\/95.1.14","volume":"95","author":"R Simon","year":"2003","unstructured":"Simon R, Radmacher MD, Dobbin K, McShane LM: Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. Natl Cancer Inst 2003, 95(1):14\u20138.","journal-title":"Natl Cancer Inst"},{"issue":"4","key":"338_CR8","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1126\/science.292.5518.929","volume":"292","author":"T Ideker","year":"2001","unstructured":"Ideker T, Thorsson V, Ranish JA, Christmas R, Buhler J, Eng JK, Bumgarner R, Goodlett DR, Aebersold R, Hood L: Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. Science 2001, 292(4):929\u2013934. 10.1126\/science.292.5518.929","journal-title":"Science"},{"issue":"17","key":"338_CR9","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1126\/science.1087361","volume":"302","author":"R Jansen","year":"2003","unstructured":"Jansen R, Yu H, Greenbaum D, Kluger Y, Krogan NJ, Chung S, Emili A, Snyder M, Greenblatt JF, Gerstein M: A Bayesian networks approach for predicting protein-protein interactions from genomic data. Science 2003, 302(17):449\u2013453. 10.1126\/science.1087361","journal-title":"Science"},{"issue":"4","key":"338_CR10","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1093\/bioinformatics\/btg025","volume":"19","author":"S Datta","year":"2003","unstructured":"Datta S, Datta S: Comparisons and validation of statistical clustering techniques for microarray gene expression data. Bioinformatics 2003, 19(4):459\u2013466. 10.1093\/bioinformatics\/btg025","journal-title":"Bioinformatics"},{"issue":"8","key":"338_CR11","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1093\/hmg\/ddg093","volume":"12","author":"C Romualdi","year":"2003","unstructured":"Romualdi C, Campanaro S, Campagna D, Celegato B, Cannata N, Toppo S, Valle G, Lanfranchi G: Pattern recognition in gene expression profiling using DNA array: a comparative study of different statistical methods applied to cancer classification. Hum Molecular Genetics 2003, 12(8):823\u2013836. 10.1093\/hmg\/ddg093","journal-title":"Hum Molecular Genetics"},{"issue":"16","key":"338_CR12","doi-asserted-by":"publisher","first-page":"9440","DOI":"10.1073\/pnas.1530509100","volume":"100","author":"JD Storey","year":"2003","unstructured":"Storey JD, Tibshirani R: Statistical significance for genomewide studies. Proc Natl Acad Sci U S A 2003, 100(16):9440\u20139445. 10.1073\/pnas.1530509100","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"5","key":"338_CR13","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1093\/nar\/gkh507","volume":"32","author":"CF Chang","year":"2004","unstructured":"Chang CF, Wai KM, Patterton HG: Calculating the statistical significance of physical clusters of co-regulated genes in the genome: the role of chromatin in domain-wide gene regulation. Nucleic Acids Res 2004, 32(5):1798\u2013807. 10.1093\/nar\/gkh507","journal-title":"Nucleic Acids Res"},{"issue":"4","key":"338_CR14","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1109\/TNB.2003.809465","volume":"1","author":"H Wang","year":"2002","unstructured":"Wang H, Azuaje F, Black N: Improving biomolecular pattern discovery and visualization with hybrid self-adaptive networks. IEEE Transactions on Nanobioscience 2002, 1(4):146\u2013166. 10.1109\/TNB.2003.809465","journal-title":"IEEE Transactions on Nanobioscience"},{"issue":"1","key":"338_CR15","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/TITB.2004.824727","volume":"8","author":"H Wang","year":"2004","unstructured":"Wang H, Azuaje F, Black N: An integrative and interactive framework for improving biomedical pattern discovery and visualization. IEEE Transactions on Information Technology in Biomedicine 2004, 8(1):16\u201327. 10.1109\/TITB.2004.824727","journal-title":"IEEE Transactions on Information Technology in Biomedicine"},{"key":"338_CR16","doi-asserted-by":"publisher","first-page":"14863","DOI":"10.1073\/pnas.95.25.14863","volume":"95","author":"MB Eisen","year":"1998","unstructured":"Eisen MB, Spellman PT, Brown PO, Botstein D: Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 1998, 95: 14863\u201314868. 10.1073\/pnas.95.25.14863","journal-title":"Proc Natl Acad Sci USA"},{"key":"338_CR17","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1093\/bioinformatics\/17.2.126","volume":"17","author":"J Herrero","year":"2001","unstructured":"Herrero J, Valencia A, Dopazo J: A hierarchical unsupervised growing neural network for clustering gene expression patterns. Bioinformatics 2001, 17: 126\u2013136. 10.1093\/bioinformatics\/17.2.126","journal-title":"Bioinformatics"},{"issue":"8\u20139","key":"338_CR18","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1016\/S0893-6080(02)00070-9","volume":"15","author":"J Nikkila","year":"2002","unstructured":"Nikkila J, Toronen P, Kaski S, Venna J, Castren E, Wong G: Analysis and visualization of gene expression data using self-organizing maps. Neural Networks 2002, 15(8\u20139):953\u2013966. 10.1016\/S0893-6080(02)00070-9","journal-title":"Neural Networks"},{"issue":"1","key":"338_CR19","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1186\/1471-2105-4-48","volume":"4","author":"S Kaski","year":"2003","unstructured":"Kaski S, Nikkila J, Oja M, Venna J, Toronen P, Castren E: Trustworthiness and metrics in visualizing similarity of gene expression,. BMC Bioinformatics 2003, 4(1):48. 10.1186\/1471-2105-4-48","journal-title":"BMC Bioinformatics"},{"issue":"16","key":"338_CR20","doi-asserted-by":"publisher","first-page":"2131","DOI":"10.1093\/bioinformatics\/btg296","volume":"19","author":"AL Hsu","year":"2003","unstructured":"Hsu AL, Tang SL, Halgamuge SK: An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data. Bioinformatics 2003, 19(16):2131\u20132140. 10.1093\/bioinformatics\/btg296","journal-title":"Bioinformatics"},{"issue":"4\u20136","key":"338_CR21","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/S0020-0190(00)00142-3","volume":"76","author":"E Hartuv","year":"2000","unstructured":"Hartuv E, Shamir R: A clustering algorithm based on graph connectivity. Information Processing Letters 2000, 76(4\u20136):175\u2013181. 10.1016\/S0020-0190(00)00142-3","journal-title":"Information Processing Letters"},{"key":"338_CR22","volume-title":"Multidimensional Scaling","author":"TF Cox","year":"1994","unstructured":"Cox TF, Cox MAA: Multidimensional Scaling. London: Chapman and Hall; 1994."},{"key":"338_CR23","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/BF02289694","volume":"29","author":"JB Kruskal","year":"1964","unstructured":"Kruskal JB: Nonmetric multidimensional scaling: a numerical method. Psychometrika 1964, 29: 115\u2013129.","journal-title":"Psychometrika"},{"issue":"12","key":"338_CR24","doi-asserted-by":"publisher","first-page":"1614","DOI":"10.1109\/T-C.1971.223184","volume":"C-20","author":"JB Kruskal","year":"1971","unstructured":"Kruskal JB: Comments on \"a nonlinear mapping for data structure analysis\" (Letter to the editor). IEEE Trans on computers 1971, C-20(12):1614.","journal-title":"IEEE Trans on computers"},{"key":"338_CR25","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1109\/T-C.1969.222678","volume":"C-18","author":"JW Sammon","year":"1969","unstructured":"Sammon JW: A nonlinear mapping for data analysis. IEEE Transactions on Computers 1969, C-18: 401\u2013409.","journal-title":"IEEE Transactions on Computers"},{"key":"338_CR26","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/0031-3203(73)90025-3","volume":"5","author":"J Kittler","year":"1973","unstructured":"Kittler J, Young PC: A new approach to feature selection based on the Karhunen-Loeve expansion. Pattern Recognition 1973, 5: 335\u2013352. 10.1016\/0031-3203(73)90025-3","journal-title":"Pattern Recognition"},{"issue":"7","key":"338_CR27","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1093\/bioinformatics\/17.7.658","volume":"17","author":"RM Ewing","year":"2001","unstructured":"Ewing RM, Cherry JM: Visualization of expression clusters using Sammon's non-linear mapping. Bioinformatics 2001, 17(7):658\u2013659. 10.1093\/bioinformatics\/17.7.658","journal-title":"Bioinformatics"},{"key":"338_CR28","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1038\/89044","volume":"7","author":"J Khan","year":"2001","unstructured":"Khan J, Wei J, Ringner M, Saal L, Ladanyi M, Westermann F, Berthold F, Schwab M, Antonescu C, Peterson C, Meltzer P: Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine 2001, 7: 673\u2013679. 10.1038\/89044","journal-title":"Nature Medicine"},{"key":"338_CR29","first-page":"445","volume-title":"Advances in neural information processing systems","author":"A. Flexer","year":"1997","unstructured":"Flexer A.: Limitations of self-organizing maps for vector quantization and multidimensional scaling. In Advances in neural information processing systems. Volume 9. Edited by: Mozer MC, Jordan MI, Petsche T. Cambridge: MIT Press\/Bradford Books; 1997:445\u2013451."},{"key":"338_CR30","volume-title":"PhD thesis","author":"S Kaski","year":"1997","unstructured":"Kaski S: Data exploration using self-organizing maps. PhD thesis. Helsinki University of Technology; 1997."},{"key":"338_CR31","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s100440050006","volume":"3","author":"B Lerner","year":"1999","unstructured":"Lerner B, Guterman H, Aladjem M, Dinstein I: On initialization of Sammon's Nonlinear Mapping. Pattern Analysis and Applications 1999, 3: 61\u201368.","journal-title":"Pattern Analysis and Applications"},{"key":"338_CR32","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1109\/TSMC.1973.5408505","volume":"3","author":"CL Chang","year":"1973","unstructured":"Chang CL, Lee RCT: A heuristic relaxation method for nonlinear mapping in cluster analysis. IEEE Transactions on Systems, Man, and Cybernetics 1973, 3: 197\u2013200.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"338_CR33","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"TR Golub","year":"1999","unstructured":"Golub TR, Slonim D, Tamayo P, Huard C, Gassenbeck M, Mesirov JP, Coller H, Loh M, Downing J, Caligiuri M, Bloomfield C, Lander E: Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999, 286: 531\u2013537. 10.1126\/science.286.5439.531","journal-title":"Science"},{"issue":"6","key":"338_CR34","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1101\/gr.229002","volume":"12","author":"VM Brown","year":"2002","unstructured":"Brown VM, Ossadtchi A, Khan AH, Yee S, Lacan G, Melega WP, Cherry SR, Leahy RM, Smith DJ: Multiplex three dimensional brain gene expression mapping in a mouse model of Parkinson's disease. Genome Res 2002, 12(6):868\u2013884. 10.1101\/gr.229002. Article published online before print in May 2002","journal-title":"Genome Res"},{"key":"338_CR35","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/1471-2105-4-5","volume":"4","author":"F Azuaje","year":"2003","unstructured":"Azuaje F: Genomic data sampling and its effect on classification performance assessment. BMC Bioinformatics 2003, 4: 5. 10.1186\/1471-2105-4-5","journal-title":"BMC Bioinformatics"},{"key":"338_CR36","first-page":"35","volume-title":"Proceedings of Matlab-DSP Conference","author":"J Vesanto","year":"1999","unstructured":"Vesanto J, Himberg J, Alhoniemi E, Parhankangas J: Self-organizing map in Matlab: the SOM toolbox. Proceedings of Matlab-DSP Conference 1999, 35\u201340."},{"key":"338_CR37","volume-title":"Tech Rep A57","author":"J Vesanto","year":"2000","unstructured":"Vesanto J, Himberg J, Alhoniemi E, Parhankangas J: SOM toolbox for Matlab 5. In Tech Rep A57. Helsinki University of Technology, Finland; 2000."},{"key":"338_CR38","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1146\/annurev.genom.5.061903.180014","volume":"5","author":"Y Jiang","year":"2004","unstructured":"Jiang Y, Bressler J, Beaudet AL: Epigenetics and Human Disease. Annu Rev Genomics Hum Genet 2004, 5: 479\u2013510. 10.1146\/annurev.genom.5.061903.180014","journal-title":"Annu Rev Genomics Hum Genet"},{"issue":"5657","key":"338_CR39","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1126\/science.1091403","volume":"303","author":"S Li","year":"2004","unstructured":"Li S, Armstrong CM, Bertin N, Ge H, Milstein S, Boxem M, Vidalain PO, Han JD, Chesneau A, Hao T, Goldberg DS, Li N, Martinez M, Rual JF, Lamesch P, Xu L, Tewari M, Wong SL, Zhang LV, Berriz GF, Jacotot L, Vaglio P, Reboul J, Hirozane-Kishikawa T, Li Q, Gabel HW, Elewa A, Baumgartner B, Rose DJ, Yu H, Bosak S, Sequerra R, Fraser A, Mango SE, Saxton WM, Strome S, Van Den Heuvel S, Piano F, Vandenhaute J, Sardet C, Gerstein M, Doucette-Stamm L, Gunsalus KC, Harper JW, Cusick ME, Roth FP, Hill DE, Vidal M: A map of the interactome network of the metazoan C. elegans. Science 2004, 303(5657):540\u20133. 10.1126\/science.1091403","journal-title":"Science"},{"issue":"2","key":"338_CR40","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1093\/bioinformatics\/19.2.317","volume":"19","author":"B-H Ju","year":"2003","unstructured":"Ju B-H, Park B, Park JH, Han K: Visualization and analysis of protein interactions. Bioinformatics 2003, 19(2):317\u2013318. 10.1093\/bioinformatics\/19.2.317","journal-title":"Bioinformatics"},{"issue":"6920","key":"338_CR41","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1038\/nature01278","volume":"421","author":"RS Kamath","year":"2003","unstructured":"Kamath RS, Fraser AG, Dong Y, Poulin G, Durbin R, Gotta M, Kanapin A, Le Bot N, Moreno S, Sohrmann M, Welchman DP, Zipperlen P, Ahringer J: Systematic functional analysis of the Caenorhabditis elegans genome using RNAi. Nature 2003, 421(6920):231\u2013237. 10.1038\/nature01278","journal-title":"Nature"},{"key":"338_CR42","unstructured":"TIGR Multiexperiment Viewer[http:\/\/www.tigr.org\/software\/tm4\/mev.html]"},{"issue":"2","key":"338_CR43","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1109\/72.363467","volume":"6","author":"J Mao","year":"1995","unstructured":"Mao J, Jain AK: Artificial neural networks for feature extraction and multivariate data projection. IEEE Trans on Neural Networks 1995, 6(2):296\u2013317. 10.1109\/72.363467","journal-title":"IEEE Trans on Neural Networks"},{"issue":"6","key":"338_CR44","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1109\/TPAMI.1981.4767175","volume":"PAMI-3","author":"G Biswas","year":"1981","unstructured":"Biswas G, Jain AK, Dubes RC: Evaluation of projection algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 1981, PAMI-3(6):701\u2013708.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"4","key":"338_CR45","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1002\/1096-987X(200103)22:4<373::AID-JCC1009>3.0.CO;2-8","volume":"22","author":"DN Rassokhin","year":"2001","unstructured":"Rassokhin DN, Lobanov VS, Agrafiotis DK: Nonlinear mapping of massive data sets by fuzzy clustering and neural networks. Journal of Computational Chemistry 2001, 22(4):373\u2013386.","journal-title":"Journal of Computational Chemistry"},{"issue":"11\u201313","key":"338_CR46","doi-asserted-by":"publisher","first-page":"1307","DOI":"10.1016\/S0167-8655(97)00093-7","volume":"18","author":"D Ridder","year":"1997","unstructured":"Ridder D, Duin RPW: Sammon's mapping using neural networks: comparison. Pattern Recognition Letters 1997, 18(11\u201313):1307\u20131316. 10.1016\/S0167-8655(97)00093-7","journal-title":"Pattern Recognition Letters"},{"key":"338_CR47","first-page":"288","volume-title":"IEEE Trans Comput","author":"RCT Lee","year":"1977","unstructured":"Lee RCT, Slagle JR, Blum H: A Triangulation Method for the Sequential Mapping of Points from N-Space to Two-Space. IEEE Trans Comput 1977, 288\u2013292."},{"key":"338_CR48","unstructured":"Cancer Program at the Broad Institute[http:\/\/www.broad.mit.edu\/cancer\/]"},{"key":"338_CR49","unstructured":"National Human Genome Research Institute, Microarray Project[http:\/\/research.nhgri.nih.gov\/microarray\/]"},{"key":"338_CR50","unstructured":"The Gene Expression Omnibus[http:\/\/www.ncbi.nlm.nih.gov\/geo]"},{"issue":"12","key":"338_CR51","doi-asserted-by":"publisher","first-page":"2120","DOI":"10.1101\/gr.205301","volume":"11","author":"LR Matthews","year":"2001","unstructured":"Matthews LR, Vaglio P, Reboul J, Ge H, Davis BP, Garrels J, Vincent S, Vidal M: Identification of potential interaction networks using sequence-based searches for conserved protein-protein interactions or \"interologs\". Genome Res 2001, 11(12):2120\u20136. 10.1101\/gr.205301","journal-title":"Genome Res"},{"key":"338_CR52","unstructured":"InterViewer software[http:\/\/interviewer.inha.ac.kr\/]"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-6-13.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/1471-2105-6-13\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-6-13.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T12:04:36Z","timestamp":1728302676000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-6-13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,1,20]]},"references-count":52,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2005,12]]}},"alternative-id":["338"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-6-13","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,1,20]]},"assertion":[{"value":"9 August 2004","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 January 2005","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 January 2005","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"13"}}