|
|
|
|
| LEADER |
00000nam a22000005i 4500 |
| 001 |
b3208247 |
| 003 |
MWH |
| 005 |
20191026051259.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2004 xxu| s |||| 0|eng d |
| 020 |
|
|
|a 9781402077883
|
| 024 |
7 |
|
|a 10.1007/b129531
|2 doi
|
| 035 |
|
|
|a (DE-He213)978-1-4020-7788-3
|
| 050 |
|
4 |
|a E-Book
|
| 072 |
|
7 |
|a PSB
|2 bicssc
|
| 072 |
|
7 |
|a SCI007000
|2 bisacsh
|
| 072 |
|
7 |
|a PSB
|2 thema
|
| 100 |
1 |
|
|a Mei-Ling Ting Lee.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 245 |
1 |
0 |
|a Analysis of Microarray Gene Expression Data
|h [electronic resource] /
|c by Mei-Ling Ting Lee.
|
| 250 |
|
|
|a 1st ed. 2004.
|
| 264 |
|
1 |
|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 2004.
|
| 300 |
|
|
|a XVI, 377 p. 18 illus.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a Springer eBook Collection
|
| 505 |
0 |
|
|a DNA, RNA, Protein, and Gene Expression -- Microarray Technology -- Inherent Variability in Microarray Data -- Background Noise -- Transformation and Normalization -- Missing Values in Microarray Data -- Saturated Intensity Readings in Microarray Data -- Experimental Design -- Anova Models for Michrorray Data -- Multiple Testing in Microarray Studies -- Permutation Tests in Microarray Data -- Bayesian Methods for Microarray Data -- Power and Sample Size Considerations at the Planning Stage -- Cluster Analysis -- Principal Components and Singular Value Decomposition -- Self-organizing Maps -- Discrimination and Classification -- Artificial Neural Networks -- Support Vector Machines.
|
| 520 |
|
|
|a After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.
|
| 590 |
|
|
|a Loaded electronically.
|
| 590 |
|
|
|a Electronic access restricted to members of the Holy Cross Community.
|
| 650 |
|
0 |
|a Biochemistry.
|
| 650 |
|
0 |
|a Statistics .
|
| 650 |
|
0 |
|a Biomathematics.
|
| 650 |
|
0 |
|a Human genetics.
|
| 650 |
|
0 |
|a Evolutionary biology.
|
| 650 |
|
0 |
|a Cancer research.
|
| 690 |
|
|
|a Electronic resources (E-books)
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/b129531
|3 Click to view e-book
|t 0
|
| 907 |
|
|
|a .b32082472
|b 04-18-22
|c 02-26-20
|
| 998 |
|
|
|a he
|b 02-26-20
|c m
|d @
|e -
|f eng
|g xxu
|h 0
|i 1
|
| 912 |
|
|
|a ZDB-2-SBL
|
| 912 |
|
|
|a ZDB-2-BAE
|
| 950 |
|
|
|a Biomedical and Life Sciences (Springer-11642)
|
| 902 |
|
|
|a springer purchased ebooks
|
| 903 |
|
|
|a SEB-COLL
|
| 945 |
|
|
|f - -
|g 1
|h 0
|j - -
|k - -
|l he
|o -
|p $0.00
|q -
|r -
|s b
|t 38
|u 0
|v 0
|w 0
|x 0
|y .i21214128
|z 02-26-20
|
| 999 |
f |
f |
|i 76def0c8-c2d4-5d23-8587-aa79b4657449
|s 7f1d9fbb-44a2-561a-95e2-7f6fe9010305
|t 0
|
| 952 |
f |
f |
|p Online
|a College of the Holy Cross
|b Main Campus
|c E-Resources
|d Online
|t 0
|e E-Book
|h Library of Congress classification
|i Elec File
|