The Resource Computational and statistical approaches to genomics

Computational and statistical approaches to genomics

Label
Computational and statistical approaches to genomics
Title
Computational and statistical approaches to genomics
Creator
Contributor
Contributor
Subject
Language
  • eng
  • eng
Summary
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
Is part of
Cataloging source
PQKB
http://library.link/vocab/creatorName
Wei Zhang; Shmulevich, Ilya
Dewey number
576.5/01/5118
Image bit depth
0
Language note
English
LC call number
QH438.4.M3 C65 2002
http://library.link/vocab/relatedWorkOrContributorName
  • Zhang, Wei
  • Shmulevich, Ilya
  • SpringerLink (Online service)
http://library.link/vocab/subjectName
  • Genomics
  • Genomics
  • Genomics
  • DNA microarrays
  • Microarray Analysis
  • Sequence Analysis
  • Models, Biological
  • Molecular Probe Techniques
  • Computational Biology
  • Genetics
  • Nucleic Acid Hybridization
  • Genetic Techniques
  • Microchip Analytical Procedures
  • Biology
  • Models, Theoretical
  • Investigative Techniques
  • Biological Science Disciplines
  • Chemistry Techniques, Analytical
  • Analytical, Diagnostic and Therapeutic Techniques and Equipment
  • Natural Science Disciplines
  • Disciplines and Occupations
  • Oligonucleotide Array Sequence Analysis
  • Genomics
  • Models, Genetic
  • Biology
  • Health & Biological Sciences
  • Genetics
Label
Computational and statistical approaches to genomics
Instantiates
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Color
not applicable
Content category
text
Content type code
txt
Contents
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
Dimensions
unknown
Extent
1 online resource (XIV, 329 p. 88 illus., 20 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9780306478253
Level of compression
uncompressed
Media category
computer
Media type code
c
Other control number
10.1007/b101927
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000024366
  • (SSID)ssj0000127550
  • (PQKBManifestationID)11142247
  • (PQKBTitleCode)TC0000127550
  • (PQKBWorkID)10054414
  • (PQKB)10411467
  • (DE-He213)978-0-306-47825-3
  • (EXLCZ)991000000000024366
Label
Computational and statistical approaches to genomics
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Color
not applicable
Content category
text
Content type code
txt
Contents
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
Dimensions
unknown
Extent
1 online resource (XIV, 329 p. 88 illus., 20 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9780306478253
Level of compression
uncompressed
Media category
computer
Media type code
c
Other control number
10.1007/b101927
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000024366
  • (SSID)ssj0000127550
  • (PQKBManifestationID)11142247
  • (PQKBTitleCode)TC0000127550
  • (PQKBWorkID)10054414
  • (PQKB)10411467
  • (DE-He213)978-0-306-47825-3
  • (EXLCZ)991000000000024366

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