Read Mathematical and Statistical Methods for Genetic Analysis (Statistics for Biology and Health) by Kenneth Lange Online
[Kenneth Lange] ↠ Mathematical and Statistical Methods for Genetic Analysis (Statistics for Biology and Health) Ô Download Online eBook or Kindle ePUB. Mathematical and Statistical Methods for Genetic Analysis (Statistics for Biology and Health) great book where few texts of a statistical nature exist Michael R. Chernick This second edition updates the first with the many advances in the rapidly growing field of genetics. It provides a nice treatment of the mathematical and stochastic models that are useful in genetic studies.It is a little disappointing that it does not go into the microarray technology that has become so important for experim. A Customer said Mathematical Details of Genetics. This book has an excellent coverage on the
| Title | : | Mathematical and Statistical Methods for Genetic Analysis (Statistics for Biology and Health) |
| Author | : | |
| Rating | : | 4.56 (642 Votes) |
| Asin | : | 0387949097 |
| Format Type | : | paperback |
| Number of Pages | : | 265 Pages |
| Publish Date | : | 0000-00-00 |
| Language | : | English |
During the past decade, geneticists have constructed detailed maps of the human genome and cloned scores of Mendelian disease genes. Mathematical, statistical and computational principles relevant to this task are developed hand in hand with applications to gene mapping, risk prediction, and the testing of epidemiological hypotheses.. This book is designed to equip graduate students in the mathematical sciences with the knowledge needed to understand and model the epidemiological and experimental data encountered in genetics research. This revolution depends vitally on the contributions of applied mathematicians, statisticians and computer scientists. They now stand on the threshold of sequencing the genome in its entirety and the unprecedented insights into human disease and evolution offered by mapping and sequencing will transform medicine and agriculture
… Mathematical, statistical, and computational principles relevant to this task are developed … . This second edition is considerably larger, updating the first edition and adding some new topics. From the reviews of the second edition:"This book is an excellent resource for statisticians and applied mathematicians seeking an overview of models and formalisms in use in a wide collection of generic analysis processes." Journal of the American Statistical Association, June 2005"Genetics is a subject that has always attracted the attention of statisticians back to the time that Mendel did his discoveries. Braumann, Zentralblatt MATH, Vol. Di Bucchianico, Kwantitatieve Methoden, Vol. … The current book realizes this and tries to provide a gentle introduction to a wide range of statistical topics in genetics. This book provides an up-to-date introduction to seve
great book where few texts of a statistical nature exist Michael R. Chernick This second edition updates the first with the many advances in the rapidly growing field of genetics. It provides a nice treatment of the mathematical and stochastic models that are useful in genetic studies.It is a little disappointing that it does not go into the microarray technology that has become so important for experim. A Customer said Mathematical Details of Genetics. This book has an excellent coverage on the mathematical subtlies of genetics. The complicated theories are complimented by numerous examples. The exercise at the end of each chapter has a collection of probing questions that tests the understanding of the topics covered in the respective chapter. However, there is no discussion. Mathematical details about genetics A Customer The book has an excellent coverage of the mathematical subtlities of genetics. Theories are illustrated through numerous examples and the exercises at the end of each chapter contain probing questions which would test the understanding of the topics covered in the respective chapters. However, there are no chapters devoted to q
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