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Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies. And there is arguably no group better qualified to do so than the authors of this book.Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis of genetic microarray data. These
Zakup książki
Statistical Analysis of Gene Expression Microarray Data, Terry Speed
- Język
- Rok wydania
- 2003
- Oprawa
- (twarda)
Metody płatności
Brakuje nam tutaj Twojej recenzji.
- Tytuł
- Statistical Analysis of Gene Expression Microarray Data
- Język
- angielski
- Autorzy
- Terry Speed
- Wydawca
- Chapman and Hall/CRC
- Rok wydania
- 2003
- Oprawa
- twarda
- Liczba stron
- 222
- ISBN10
- 1584883278
- ISBN13
- 9781584883272
- Seria
- Tagi
- Nauki przyrodnicze, Nauka, USA, Tematyka medyczna, Literatura fachowa, Statystyka, Genetyka, Eksperymenty naukowe, Biochemia, Biotechnologia
- Ocena
- 3 z 5
- Opis
- Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies. And there is arguably no group better qualified to do so than the authors of this book.Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis of genetic microarray data. These


