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100301s2002 xxu| s |||| 0|eng d |
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|a 9780306478253
|9 978-0-306-47825-3
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7 |
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|a 10.1007/b101927
|2 doi
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|a QL801-950.9
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|a PSV
|2 bicssc
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|a SCI070000
|2 bisacsh
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|a SCI056000
|2 bisacsh
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|a 571.31
|2 23
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|a Computational and Statistical Approaches to Genomics
|c edited by Wei Zhang, Ilya Shmulevich.
|h [electronic resource] /
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264 |
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1 |
|a Boston, MA :
|b Springer US,
|c 2002.
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300 |
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|a XIV, 329 p. 88 illus., 20 illus. in color.
|b online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Microarray Image Analysis and Gene Expression Ratio Statistics -- Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification -- Sources of Variation in Microarray Experiments -- Studentizing Microarray Data -- Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains -- Selecting Informative Genes for Cancer Classification Using Gene Expression Data -- Design Issues and Comparison of Methods for Microarray-Based Classification -- Analyzing Protein Sequences Using Signal Analysis Techniques -- Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome -- Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics -- Inference of Genetic Regulatory Networks Via Best-Fit Extensions -- Regularization and Noise Injection for Improving Genetic Network Models -- Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations -- Human Glioma Diagnosis from Gene Expression Data -- Application of DNA Microarray Technology to Clinical Biopsies of Breast Cancer -- Alternative Splicing: Genetic Complexity in Cancer -- Single-Nucleotide Polymorphisms, DNA Repair, and Cancer.
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|a Computational and Statistical Genomics aims to help researchers deal with current genomic challenges. Topics covered include: overviews of the role of supercomputers in genomics research, the existing challenges and directions in image processing for microarray technology, and web-based tools for microarray data analysis; approaches to the global modeling and analysis of gene regulatory networks and transcriptional control, using methods, theories, and tools from signal processing, machine learning, information theory, and control theory; state-of-the-art tools in Boolean function theory, time-frequency analysis, pattern recognition, and unsupervised learning, applied to cancer classification, identification of biologically active sites, and visualization of gene expression data; crucial issues associated with statistical analysis of microarray data, statistics and stochastic analysis of gene expression levels in a single cell, statistically sound design of microarray studies and experiments; and biological and medical implications of genomics research.
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650 |
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|a Life sciences.
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650 |
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|a Cancer research.
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650 |
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|a Biotechnology.
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650 |
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|a Animal anatomy.
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650 |
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|a Statistics.
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650 |
1 |
4 |
|a Life Sciences.
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650 |
2 |
4 |
|a Animal Anatomy / Morphology / Histology.
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650 |
2 |
4 |
|a Cancer Research.
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650 |
2 |
4 |
|a Biotechnology.
|
650 |
2 |
4 |
|a Signal, Image and Speech Processing.
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650 |
2 |
4 |
|a Statistics, general.
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700 |
1 |
# |
|a Zhang, Wei.
|e editor.
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700 |
1 |
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|a Shmulevich, Ilya.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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776 |
0 |
8 |
|i Printed edition:
|z 9781402070235
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856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/b101927
|z View fulltext via EzAccess
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912 |
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|a ZDB-2-SBL
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912 |
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|a ZDB-2-BAE
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950 |
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|a Biomedical and Life Sciences (Springer-11642)
|