Modeling dose-response microarray data in early drug development experiments using R : order-restricted analysis of microarray data
edited by Dan Lin ... [and others] (Springer, 2012)
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| This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students.Part I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as inference under order restrictions and non-linear parametric models, which are used in the second part of the book. Part II is the core of the book, in which we focus on the analysis of dose-response microarray data. All methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments. |
 Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R.pdf :: Unduh |
| No. Panggil : | e20420490 |
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| Subjek : | |
| Penerbitan : | Berlin: Springer, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-3-642-24007-2 |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20420490 | 20-23-47143161 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20420490 |
