Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)
Resource Information
The instance Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book) represents a material embodiment of a distinct intellectual or artistic creation found in University of Liverpool. This resource is a combination of several types including: Instance, Electronic.
The Resource
Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)
Resource Information
The instance Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book) represents a material embodiment of a distinct intellectual or artistic creation found in University of Liverpool. This resource is a combination of several types including: Instance, Electronic.
- Label
- Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)
- Title remainder
- methods and protocols
- Medium
- electronic book
- Statement of responsibility
- edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Using of normalizations for gene expression analysis
- Peter Bubeliny
- Constructing multivariate prognostic gene signatures with censored survival data
- Derick R. Peterson
- Clustering of gene expression data via normal mixture models
- G.J. McLachlan [and others]
- Network-based analysis of multivariate gene expression data
- Wei Zhi [and others]
- Genomic outlier detection in high-throughput data analysis
- Debashis Ghosh
- What statisticians should know about microarray gene expression technology
- Impact of experimental noise and annotation imprecision on data quality in microarray experiments
- Andreas Scherer, Manhong Dai, and Fan Meng
- Aggregation effect in microarray data analysis
- Linlin Chen, Anthony Almudevar, and Lev Klebanov
- Test for normality of the gene expression data
- Bobosharif Shokirov
- Stephen Welle
- Where statistics and molecular microarray experiments biology meet
- Diana M. Kelmansky
- Multiple hypothesis testing : a methodological overview
- Anthony Almudevar
- Gene selection with the [delta]-sequence method
- Xing Qiu and Lev Klebanov
- Control code
- SPR828148223
- Dimensions
- unknown
- Extent
- 1 online resource (xi, 212 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781603273367
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations.
- Quality assurance targets
- not applicable
- Record ID
- b3986382
- Reformatting quality
- unknown
- Reproduction note
- Electronic resource.
- Sound
- unknown sound
- Specific material designation
- remote
Context
Context of Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/spnnWcPxZGk/" typeof="Book http://bibfra.me/vocab/lite/Instance"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/spnnWcPxZGk/">Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Instance Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/spnnWcPxZGk/" typeof="Book http://bibfra.me/vocab/lite/Instance"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/spnnWcPxZGk/">Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>