Statistical diagnostics for cancer : analyzing high-dimensional data /
Statistical diagnostics for cancer : analyzing high-dimensional data /
edited by Frank Emmert-Streib and Matthias Dehmer.
- First edition.
- 1 online resource (xx, 292 pages) : illustrations (some color).
- Quantitative and network biology ; volume 3 .
- Quantitative and network biology ; v. 3. .
Edition statement from running title area.
Includes bibliographical references and index.
Part one: General overview. Control of type I error rates for oncology biomarker discovery with high-throughput platforms -- Overview of public cancer databases, resources, and visualization tools -- Part two: Bayesian methods. Discovery of expression signatures in chronic myeloid leukemia by Bayesian model averaging -- Bayesian ranking and selection methods in microarray studies -- Multiclass classification via Bayesian variable selection with gene expression data -- Semisupervised methods for analyzing high-dimensional genomic data -- Part three: Network-based approaches -- Colorectal cancer and its molecular subsystems: construction, interpretation, and validation -- Network medicine: disease genes in molecular networks -- Inference of gene regulatory networks in breast and ovarian cancer by integrating different genomic data -- Network-module-based approaches in cancer data analysis -- Discriminant and network analysis to study origin of cancer -- Intervention and control of gene regulatory networks: theoretical framework and application to human melanoma gene regulation -- Part four: Phenotype influence of DNA copy number aberrations. Identification of recurrent DNA copy number aberrations in tumors -- The cancer cell, its entropy, and high-dimensional molecular data.
This title discusses different methods for statistically analyzing and validating data created with high-throughput methods. It focuses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network.
9783527665471 3527665471 9783527665440 3527665447 9783527665457 3527665455 9781299158511 129915851X 9783527665464 3527665463
447101 MIL
Cancer--Diagnosis.
Neoplasms--genetics.
Statistics as Topic--methods.
Cancer--Diagnosis.
Electronic books.
Electronic books.
RC270 / .S73 2013eb
616.99/4075
QZ 241
Edition statement from running title area.
Includes bibliographical references and index.
Part one: General overview. Control of type I error rates for oncology biomarker discovery with high-throughput platforms -- Overview of public cancer databases, resources, and visualization tools -- Part two: Bayesian methods. Discovery of expression signatures in chronic myeloid leukemia by Bayesian model averaging -- Bayesian ranking and selection methods in microarray studies -- Multiclass classification via Bayesian variable selection with gene expression data -- Semisupervised methods for analyzing high-dimensional genomic data -- Part three: Network-based approaches -- Colorectal cancer and its molecular subsystems: construction, interpretation, and validation -- Network medicine: disease genes in molecular networks -- Inference of gene regulatory networks in breast and ovarian cancer by integrating different genomic data -- Network-module-based approaches in cancer data analysis -- Discriminant and network analysis to study origin of cancer -- Intervention and control of gene regulatory networks: theoretical framework and application to human melanoma gene regulation -- Part four: Phenotype influence of DNA copy number aberrations. Identification of recurrent DNA copy number aberrations in tumors -- The cancer cell, its entropy, and high-dimensional molecular data.
This title discusses different methods for statistically analyzing and validating data created with high-throughput methods. It focuses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network.
9783527665471 3527665471 9783527665440 3527665447 9783527665457 3527665455 9781299158511 129915851X 9783527665464 3527665463
447101 MIL
Cancer--Diagnosis.
Neoplasms--genetics.
Statistics as Topic--methods.
Cancer--Diagnosis.
Electronic books.
Electronic books.
RC270 / .S73 2013eb
616.99/4075
QZ 241