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Statistical diagnostics for cancer : analyzing high-dimensional data / edited by Frank Emmert-Strib and Matthias Dehmer.

Contributor(s): Material type: TextTextSeries: Copyright date: Wiley-Blackwell, ©2013Description: xx, 292 pages : illustrations (some color) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9783527332625
Subject(s): LOC classification:
  • RC270 STA
Contents:
Control of Type I Error Rates for Oncology Biomarker Discovery with High-throughput Platforms (Jeffrey Miecznikowski, Dan Wang, Song Liu) Discovery of Expression Signatures in Chronic Myeloid Leukemia by Bayesian Model Averaging (Ka Yee Yeung) Bayesian Ranking and Selection Methods in Microarray Studies (Hisashi Noma, Shigeyuki Matsui) Multi-class Classification via Bayesian Variable Selection with Gene Expression Data (Yang Aijun, Song Xinyuan, Li Yunxian) Colorectal Cancer and its Molecular Subsystems: Construction, Interpretation, and Validation (Vishal N. Patel, Mark R. Chance) Semi-Supervised Methods for Analyzing High-Dimensional Genomic Data (Devin C. Koestler) Network Medicine: Disease Genes in Molecular Networks (Sreenivas Chavali, Kartiek Kanduri) Inference of Gene Regulatory Networks in Breast and Ovarian Cancer by Integrating Different Genomic Data (Binhua Tang, Fei Gu, Victor X. Jin) Network Module Based Approaches in Cancer Data Analysis (Guanming Wu, Lincoln D. Stein) Discriminant and Network Analysis to Study Origin Of Cancer (Yue Wang, Li Chen, Ye Tian, Guoqiang Yu, David J. Miller, Ie-Ming Shih) Intervention and Control of Gene Regulatory Net-Works: Theoretical Framework and Application to Human Melanoma Gene Regulation (Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld, Hassan M. Fathallah-Shaykh) Identification of Recurrent DNA Copy Number Aberrations in Tumors (Vonn Walter, Andrew B. Nobel, D. Neil Hayes, Fred A. Wright) The Cancer Cell, its Entropy, and High-Dimensional Molecular Data (Wessel N. van Wieringen, Aad W. van der Vaart) Overview of Public Cancer Databases, Resources and Visualization Tools (Frank Emmert-Streib, Ricardo de Matos Simoes, Shailesh Tripathi, Matthias Dehmer)
Summary: This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses 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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Book Medical School Open Shelf RC270 STA (Browse shelf(Opens below)) 155579 Available BK143144

Includes bibliographical references and index.

Control of Type I Error Rates for Oncology Biomarker Discovery with High-throughput Platforms (Jeffrey Miecznikowski, Dan Wang, Song Liu) Discovery of Expression Signatures in Chronic Myeloid Leukemia by Bayesian Model Averaging (Ka Yee Yeung) Bayesian Ranking and Selection Methods in Microarray Studies (Hisashi Noma, Shigeyuki Matsui) Multi-class Classification via Bayesian Variable Selection with Gene Expression Data (Yang Aijun, Song Xinyuan, Li Yunxian) Colorectal Cancer and its Molecular Subsystems: Construction, Interpretation, and Validation (Vishal N. Patel, Mark R. Chance) Semi-Supervised Methods for Analyzing High-Dimensional Genomic Data (Devin C. Koestler) Network Medicine: Disease Genes in Molecular Networks (Sreenivas Chavali, Kartiek Kanduri) Inference of Gene Regulatory Networks in Breast and Ovarian Cancer by Integrating Different Genomic Data (Binhua Tang, Fei Gu, Victor X. Jin) Network Module Based Approaches in Cancer Data Analysis (Guanming Wu, Lincoln D. Stein) Discriminant and Network Analysis to Study Origin Of Cancer (Yue Wang, Li Chen, Ye Tian, Guoqiang Yu, David J. Miller, Ie-Ming Shih) Intervention and Control of Gene Regulatory Net-Works: Theoretical Framework and Application to Human Melanoma Gene Regulation (Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld, Hassan M. Fathallah-Shaykh) Identification of Recurrent DNA Copy Number Aberrations in Tumors (Vonn Walter, Andrew B. Nobel, D. Neil Hayes, Fred A. Wright) The Cancer Cell, its Entropy, and High-Dimensional Molecular Data (Wessel N. van Wieringen, Aad W. van der Vaart) Overview of Public Cancer Databases, Resources and Visualization Tools (Frank Emmert-Streib, Ricardo de Matos Simoes, Shailesh Tripathi, Matthias Dehmer)

This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses 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.

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