Statistical analysis of next generation sequencing data

Statistical analysis of next generation sequencing data. Aragon, T. J, Enanoria, W. T, Delhomme, N., Gormley, C., Tong, Z., Kuc, R., Computing, D., Reelsen, A., Datta, S., Nettleton, D., Introduction, A N, Statistical, T O, James, G., Witten, D., Tibshirani, R., Hastie, T., Witten, I. H., Frank, E., Hall, M. a., Concepts, E., Statistics, B., Nisbet, R., Iv, J. E., Miner, G., Wallwork, a, Editor, B. L K., Walker, J. M, Devroye, L., Mclachlan, G. J, Krishnan, T., Db Little, R., Rublin, Spurgeon, C. E, SUNG, W., He, M., Petoukhov, S., C H S. Dasgupta, P., Vazirani, U V, Veeh, J. A., Concepts, B., Analysis, M. M., Ii, M. A., Chapman, R., Coefficients, E., Grinstead, C. M, Snell, J L., Courant, R., Abebe, A., Daniels, J., McKean, J. W., Kapenga, J. A., Berry, D., Everitt, B., Hothorn, T., DeGroot, M. H (. M. U., Schervish, M. J (. M. U., Jacobson, N., Rudin, W, Artin, M., Jacobson, N., Morita, S., Kung, J., Rota, G., Lio, P., Dasu, T., Johnson, T., & Feeman, T. G. Volume 1 , 2010. ISSN: 00018708 Pages: 1-719

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The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.

@book{Aragon2010,
	title = {Statistical analysis of next generation sequencing data},
	volume = {1},
	isbn = {3-17-572399-3},
	url = {http://www.springerlink.com/index/10.1007/978-0-387-92712-1%5Cnhttp://books.google.com/books?hl=en&amp;lr=&amp;id=2OWJVkevamQC&amp;oi=fnd&amp;pg=PR9&amp;dq=Exploratory+Data+Mining+and+Data+Cleaning&amp;ots=RfagEgc18D&amp;sig=54T7zJZrRN09051DelfGX3_96Og%5C},
	abstract = {The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.},
	number = {1},
	author = {Aragon, Thomas J and Enanoria, Wayne T and Delhomme, Nicolas and Gormley, Clinton and Tong, Zachary and Kuc, Rafal and Computing, Desktop and Reelsen, Alexander and Datta, Somnath and Nettleton, Dan and Introduction, A N and Statistical, T O and James, Gareth and Witten, Daniela and Tibshirani, Robert and Hastie, Trevor and Witten, Ian H. and Frank, Eibe and Hall, Mark a. and Concepts, Elementary and Statistics, Basic and Nisbet, Robert and Iv, John Elder and Miner, Gary and Wallwork, a and Editor, Benjamin L Kidder and Walker, John M and Devroye, Luc and Mclachlan, Geoffrey J and Krishnan, Thriyambakam and Db Little, RJA and {Rublin} and Spurgeon, Charles E and SUNG, WING-KIN and He, Matthew and Petoukhov, Sergey and C H S. Dasgupta, Papadimitriou and Vazirani, U V and Veeh, Jerry Alan and Concepts, Basic and Analysis, Mathematics Mathematical and Ii, Mathematical Analysis and Chapman, Robin and Coefficients, Equating and Grinstead, Charles M and Snell, J Laurie and Courant, Richard and Abebe, A. and Daniels, J. and McKean, J. W. and Kapenga, J. A. and Berry, Donal and Everitt, B. and Hothorn, T. and DeGroot, Morris H (Carnegie Mellon University) and Schervish, Mark J (Carnegie Mellon University) and Jacobson, Nathan and Rudin, W and Artin, Michael and Jacobson, Nathan and Morita, Shigeyuki and Kung, Joseph and Rota, Gian-Carlo and Lio, Pitro and Dasu, T. and Johnson, T. and Feeman, Timothy G.},
	year = {2010},
	doi = {10.1007/978-3-319-07212-8},
	pmid = {25420514},
	note = {ISSN: 00018708
Pages: 1-719},
	keywords = {\#nosource, ISBN-13: 9780716719335, Monte Carlo methods, Random variate generation, Simulation, handbook statistical data applications},
}

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