Statistical Methods in Human Genetics - Mukhopadhyay, Indranil; Majumder, Partha Pratim; - Prospero Internetes Könyváruház
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Értesítés a kedvenc témákról
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A termék adatai:
ISBN13:9789819932221
ISBN10:981993222X
Kötéstípus:Puhakötés
Terjedelem:274 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 24 Illustrations, black & white; 16 Illustrations, color
695
Témakör:

Statistical Methods in Human Genetics

 
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
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EUR 139.09
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59 294 Ft (56 470 Ft + 5% áfa)
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47 435 (45 176 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 11 859 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
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Rövid leírás:

This book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to provide a step-by-step description of problem identification, study design, methodology of data collection, data exploration, data summarization and visualization, and more advanced analytical methods for inferring genetic underpinnings of human phenotypes. The book provides codes in R programming language for implementation of most of the statistical methods described, which will enable practitioners to perform analysis of data on their own, without having to mold the data to fit the requirements of commercial statistical packages. Useful to anyone engaged in studies to understand and manage good health, the book is a useful guide for sustainable development of humankind. Primarily intended for practicing biologists especially those who carry out quantitative biological research, in particular, human geneticists, the book is also helpful in classroom teaching.

Hosszú leírás:

This book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to provide a step-by-step description of problem identification, study design, methodology of data collection, data exploration, data summarization and visualization, and more advanced analytical methods for inferring genetic underpinnings of human phenotypes. The book provides codes in R programming language for implementation of most of the statistical methods described, which will enable practitioners to perform analysis of data on their own, without having to mold the data to fit the requirements of commercial statistical packages. Useful to anyone engaged in studies to understand and manage good health, the book is a useful guide for sustainable development of humankind. Primarily intended for practicing biologists especially those who carry out quantitative biological research, in particular, human geneticists, the book is also helpful in classroom teaching.

Tartalomjegyzék:
Introduction to analysis of human genetic data.- Basic understanding of single gene expression data.- Basic probability theory and inference.- Analysis of single gene expression data.- Analysis of gene expression data in a dependent set up.- Tying genomes with disease.- Some extensions of genetic association study.- Exploring multivariate data.