{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T17:18:46Z","timestamp":1772990326741,"version":"3.50.1"},"reference-count":34,"publisher":"Public Library of Science (PLoS)","issue":"5","license":[{"start":{"date-parts":[[2010,5,20]],"date-time":"2010-05-20T00:00:00Z","timestamp":1274313600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1000790","type":"journal-article","created":{"date-parts":[[2010,5,20]],"date-time":"2010-05-20T18:57:37Z","timestamp":1274381857000},"page":"e1000790","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":50,"title":["Analysis and Computational Dissection of Molecular Signature Multiplicity"],"prefix":"10.1371","volume":"6","author":[{"given":"Alexander","family":"Statnikov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Constantin F.","family":"Aliferis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2010,5,20]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1126\/science.286.5439.531","article-title":"Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.","volume":"286","author":"TR Golub","year":"1999","journal-title":"Science"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1038\/ng1060","article-title":"A molecular signature of metastasis in primary solid tumors.","volume":"33","author":"S Ramaswamy","year":"2003","journal-title":"Nat Genet"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1002\/0470094419","article-title":"Data analysis and visualization in genomics and proteomics.","author":"F Azuaje","year":"2005"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1093\/bioinformatics\/btg182","article-title":"Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions.","volume":"19","author":"RL Somorjai","year":"2003","journal-title":"Bioinformatics"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"5923","DOI":"10.1073\/pnas.0601231103","article-title":"Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer.","volume":"103","author":"L Ein-Dor","year":"2006","journal-title":"Proc Natl Acad Sci U S A"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/S0140-6736(05)17866-0","article-title":"Prediction of cancer outcome with microarrays: a multiple random validation strategy.","volume":"365","author":"S Michiels","year":"2005","journal-title":"Lancet"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1016\/S0140-6736(05)70249-X","article-title":"Microarrays and molecular research: noise discovery?","volume":"365","author":"JP Ioannidis","year":"2005","journal-title":"Lancet"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1177\/117693510600200011","article-title":"On the number of close-to-optimal feature sets.","volume":"2","author":"E Dougherty","year":"2006","journal-title":"Cancer Informatics"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"271","DOI":"10.2165\/00129785-200505040-00007","article-title":"Inter-gene correlation on oligonucleotide arrays: how much does normalization matter?","volume":"5","author":"DL Gold","year":"2005","journal-title":"Am J Pharmacogenomics"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1186\/1471-2105-6-120","article-title":"The effects of normalization on the correlation structure of microarray data.","volume":"6","author":"X Qiu","year":"2005","journal-title":"BMC Bioinformatics"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1186\/1471-2105-6-80","article-title":"Correlation test to assess low-level processing of high-density oligonucleotide microarray data.","volume":"6","author":"A Ploner","year":"2005","journal-title":"BMC Bioinformatics"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1093\/bioinformatics\/bth469","article-title":"Outcome signature genes in breast cancer: is there a unique set?","volume":"21","author":"L Ein-Dor","year":"2005","journal-title":"Bioinformatics"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"2361","DOI":"10.1158\/0008-5472.CAN-05-3960","article-title":"Multiple robust signatures for detecting lymph node metastasis in head and neck cancer.","volume":"66","author":"P Roepman","year":"2006","journal-title":"Cancer Res"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1101\/gr.2807605","article-title":"Classification of a large microarray data set: algorithm comparison and analysis of drug signatures.","volume":"15","author":"G Natsoulis","year":"2005","journal-title":"Genome Res"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.ijar.2006.06.008","article-title":"Towards scalable and data efficient learning of Markov boundaries.","volume":"45","author":"J Pe\u00f1a","year":"2007","journal-title":"International Journal of Approximate Reasoning"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1131","DOI":"10.1093\/bioinformatics\/17.12.1131","article-title":"Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA\/KNN method.","volume":"17","author":"L Li","year":"2001","journal-title":"Bioinformatics"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1186\/1471-2105-6-97","article-title":"Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery.","volume":"6","author":"LR Grate","year":"2005","journal-title":"BMC Bioinformatics"},{"key":"ref18","article-title":"Probabilistic reasoning in intelligent systems: networks of plausible inference.","author":"J Pearl","year":"1988"},{"key":"ref19","article-title":"Causality: models, reasoning, and inference.","author":"J Pearl","year":"2000"},{"key":"ref20","article-title":"Towards principled feature selection: relevancy, filters and wrappers.","author":"I Tsamardinos","year":"2003","journal-title":"Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics (AI & Stats)"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1201\/9781584888796.ch4","article-title":"Causal Feature Selection.","author":"I Guyon","year":"2007"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809682","article-title":"Kernel methods for pattern analysis.","author":"J Shawe-Taylor","year":"2004"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1023\/A:1022936519097","article-title":"A Note on the Universal Approximation Capability of Support Vector Machines.","volume":"17","author":"B Hammer","year":"2003","journal-title":"Neural Processing Letters"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1093\/bioinformatics\/16.10.906","article-title":"Support vector machine classification and validation of cancer tissue samples using microarray expression data.","volume":"16","author":"TS Furey","year":"2000","journal-title":"Bioinformatics"},{"key":"ref25","first-page":"235","article-title":"Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification. Part II: Analysis and Extensions.","volume":"11","author":"CF Aliferis","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","first-page":"171","article-title":"Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification. Part I: Algorithms and Empirical Evaluation.","volume":"11","author":"CF Aliferis","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref27","article-title":"Pathway induction and high-fidelity simulation for molecular signature and biomarker discovery in lung cancer using microarray gene expression data.","author":"CF Aliferis","year":"2006","journal-title":"Proceedings of the 2006 American Physiological Society Conference \u201cPhysiological Genomics and Proteomics of Lung Disease\u201d"},{"key":"ref28","article-title":"Application and comparative evaluation of causal and non-causal feature selection algorithms for biomarker discovery in high-throughput biomedical datasets.","author":"CF Aliferis","year":"2006","journal-title":"Proceedings of the NIPS 2006 Workshop on Causality and Feature Selection"},{"key":"ref29","article-title":"Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems.","author":"SM Weiss","year":"1991"},{"key":"ref30","article-title":"Nonparametric statistical methods.","author":"M Hollander","year":"1999"},{"key":"ref31","first-page":"06","article-title":"Statistical gene instability in gene-phenotype microarray association studies does not prohibit reproducibility: experimental evidence and network-theoretical justifications.","author":"CF Aliferis","year":"2006","journal-title":"Technical Report DSL"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/978-1-59745-390-5_9","article-title":"A pitfall in series of microarrays: the position of probes affects the cross-correlation of gene expression profiles.","volume":"377","author":"G Balazsi","year":"2007","journal-title":"Methods Mol Biol"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1016\/j.jbiotec.2007.02.015","article-title":"Performance of different small sample RNA amplification techniques for hybridization on Affymetrix GeneChips.","volume":"129","author":"F Wagner","year":"2007","journal-title":"J Biotechnol"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1093\/bioinformatics\/btg011","article-title":"A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays.","volume":"19","author":"T Chu","year":"2003","journal-title":"Bioinformatics"}],"container-title":["PLoS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1000790","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T09:50:16Z","timestamp":1559123416000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1000790"}},"subtitle":[],"editor":[{"given":"Scott","family":"Markel","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2010,5,20]]},"references-count":34,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2010,5,20]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1000790","relation":{},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,5,20]]}}}