eBooks :: Kembali

eBooks :: Kembali

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)

 Abstrak

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.

 File Digital: 1

Shelf
 Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R.pdf :: Unduh

 Metadata

Jenis Koleksi : eBooks
No. Panggil : e20420490
Entri tambahan-Nama orang :
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
Lembaga Pemilik:
Lokasi:
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
e20420490 20-23-47143161 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20420490
Cover