Fundamentals of Modern Statistical Genetics (Record no. 14468)

MARC details
000 -LEADER
fixed length control field 02101nam a2200277Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250716120706.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220909b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441973375
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Language of cataloging eng
Transcribing agency CSL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number G:6:(B28) Q1;1
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Laird, Nan M.
Relator term author.
9 (RLIN) 815725
245 #0 - TITLE STATEMENT
Title Fundamentals of Modern Statistical Genetics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2011.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 223p.
490 ## - SERIES STATEMENT
Series statement Statistics for Biology and Health
500 ## - GENERAL NOTE
General note Includes Bibliography 211-218p.; Index 219-223p.
520 ## - SUMMARY, ETC.
Summary, etc. This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biology.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical genetics.
9 (RLIN) 815723
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Lange, Christoph
Relator term co-author.
9 (RLIN) 815724
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part G:6:(B28) Q1;1
Koha item type Textual
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Central Science Library Central Science Library 2022-09-12 1028, 30/03/2012, Total Books India   G:6:(B28) Q1;1 SL1558042 2022-09-12 2022-09-12 Textual
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