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PREFACE
2 u. g5 P3 I3 [* E. y' Z e# BThis book has been constructed primarily as a textbook for a one- or two-semester- h/ T& e+ t, U# F. ?
course in statistical bioinformatics. We hope that it will first serve as a comprehensive
5 Y3 u$ I& e3 G8 d$ J, ?4 ?% |, Iintroduction to a broad range of topics in this area for life science students and* T7 n! `. V0 S+ G! J
researchers who are motivated to learn statistical analysis concepts and techniques9 q9 B2 Y4 e1 f, L2 S+ g3 c
in bioinformatics. Statistical and quantitative science audiences who have not yet
( J8 G7 }3 x' R5 n5 cdealt with challenging statistical issues in recent information-rich biological and biomedical
8 Q, S) I1 ~0 Edata analysis may also benefit from this book by efficiently reviewing the+ ^8 X: Y, X0 S" x; ~# r% F5 X
different statistical concepts and techniques in such analyses. In particular, the four6 K! i ^* U4 T. H; ~
separate blocks in this book—statistical foundation, high-dimensional analysis,! E$ ~! ?/ K+ | w$ l$ u
advanced topics, and multigene systems analysis—can be somewhat independently
5 o* o/ i- ]$ X3 B% S/ |studied and taught in a course based on relevant needs and time restrictions for an4 \% d2 Q) Q9 ]* i% w1 @* }" w7 I
effective learning purpose., g4 Y7 |) i+ Z! l
A similar outline as organized in this book has been used for several years in a) {5 Q( ~1 K5 \) K2 o
one-semester graduate course which is open to students with diverse backgrounds at8 W6 N( _" q3 w. g# D$ ~
the University of Virginia. By publishing this book, we felt that these contents
1 V: w) z1 F- p/ E& Ycould be significantly enhanced by direct contributions of more specialized experts, o2 e8 k! ?8 q" N/ q, ?9 n' g% P
in the broad field of bioinformatics. In this multiauthor book, we have yet tried to
N) l3 s* Z& \8 k+ E% Amaintain the need of a high-level mathematical and statistical understanding at a minimum.: x7 \+ B/ R0 w" f" t0 W" j: m
Readers of this book are thus assumed to have not much more than a basic college, E, |6 V1 m) {) |, G0 E$ d4 K
calculus level of mathematical understanding. A knowledge of matrix algebra3 G- i7 |4 O- c' B0 R( Q3 [) i2 y
would also be useful but is not a prerequisite.% o, T: ?, c# }
This book is certainly a tribute to the contributions and support of many people.
8 n0 B8 n( O# T6 u& I1 xAcknowledgments are first due to the succeeding life science editors of JohnWiley &! ~- o" }. f3 e, \
Sons: Luna Han, Thomas Moore, and Karen Chambers.Without their continuous support
% v* f1 a4 k3 J" {% x6 m c3 ?' ?and encouragement, the publication of this book would not have been possible.9 n$ \% N0 m N& v% ^3 ~
Also, all the efforts made by the expert authors who were willing to participate in
; g$ J! E) D+ `% z& ]; Dthis book should be highly acknowledged for its successful completion. Finally, the
4 O J0 t9 A7 |! ^students who have taken this initial course and provided valuable feedback on various
& z# S' `! `5 [9 R" etopics in this area over the last several years are also significant contributors to the
. J" {0 a2 a7 N7 [+ {- U! N' I+ Ncurrent form of the book. The preparation of this book was supported in part by the
/ ~. b8 ~! S- E1 INational Institutes of Health Research Grant R01 HL081690.
* Q! D: R, O8 T0 U1 a7 L& i" P1 eJ. K. LEE
1 Q. u H# X# ^8 WDivision of Biostatistics and Epidemiology' h Q+ v3 W/ [
Charlottesville, Virginia
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发表于 2010-6-19 15:22
发表于 2010-6-20 10:57
