||<>|| [Bioinformatics]에 적용하기 위한 [Statistics]. 약간 어렵게 쓰여짐. [Sefiroth/2003-04-17]부터 매주 한쳅터씩 스터디 진행 == Preface == * It is our belief that there is a need for a book that introduces probability, statistics, and stochastic process in the context of bioinformatics. * The material in this text assumes: * little or no background in biology * introductory courses in calculus and linear algebra * no computer science knowledge * Why are probability and statistics so important in bioinformatics? * Bioinformatics involves the analysis of biological data. * Many chance mechanisms are involved in the creation of these data, most importantly the many random processes inherent in biological evolution and the randomness inherent in any sampling process. * Our aim is to give an introductory account of som of the probability theory, statistics, and stochastic process theory appropriate to computational biology and bioinformatics. * This is not a "how-to" book ... * We do not cover aspects of the statistical thoery in genetics associated with disease finding and linkage analysis. This subject deserves an entire book on its own. * Nor do we discuss the increasingly important applications of bioinformatics in the stochastic theory of evolutionary population genetics. Again, all these topics deserve a complete treatment of their own. * errata http://www.textbook-errata.org == 쳅터별 발제자 == ||'''chapter'''||'''title'''||'''스터디날짜'''||'''발제자'''||'''페이지수'''|| || [StatisticalMethodsInBioinformatics/Chap1] || Probability Theory (1) : One random variable || [Sefiroth/2003-04-17] || SangeunChi || 54 || || [StatisticalMethodsInBioinformatics/Chap2] || Probability Theory (2) : Many random variable|| [Sefiroth/2003-04-24] || SangeunChi || 50 || || [StatisticalMethodsInBioinformatics/Chap3] || Statistics (1) : An introduction to statistical inference|| [Sefiroth/2003-05-01] || DrPepper || 24 || || [StatisticalMethodsInBioinformatics/Chap4] || Stochastic processes (1) : Poisson processes and MarkovChain || [Sefiroth/2003-05-15] || [jtoh] || 18 || || [StatisticalMethodsInBioinformatics/Chap5] || The analysis of one [DNA] sequence || [Sefiroth/2003-05-22] || [mutant] || 34 || || [StatisticalMethodsInBioinformatics/Chap6] || The analysis of multiple [DNA] or [Protein] sequence || [Sefiroth/2003-05-29] || SangeunChi || 38 || || [StatisticalMethodsInBioinformatics/Chap7] || Stochastic processes (2) : Random walks || [Sefiroth/2003-06-05] || ThreeColoredLearning || 18 || || [StatisticalMethodsInBioinformatics/Chap8] || Statistics (2) : Classical estimation and hypothesis || [Sefiroth/2003-06-12] || ThreeColoredLearning || 32 || || [StatisticalMethodsInBioinformatics/Chap9] || [BLAST] || . || [yong27] || 34 || || [StatisticalMethodsInBioinformatics/Chap10] || Stochastic processes (3) : MarkovChain || . || [picxenk] || 21 || || [StatisticalMethodsInBioinformatics/Chap11] || HiddenMarkovModels || . || [destine] ^^; || 22 || || [StatisticalMethodsInBioinformatics/Chap12] || Computationally intensive methods || . || [sushy] ^^ || 16 || || [StatisticalMethodsInBioinformatics/Chap13] || Evolutionary models || . || [glanze] || 20 || || [StatisticalMethodsInBioinformatics/Chap14] || PhylogeneticTree estimation || . || [neosphere] || 38 || ---- CategoryBookBioInfo