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Cancer systems biology : methods and protocols / edited by Louise von Stechow.

Contributor(s): Material type: TextTextSeries: Methods in molecular biology (Clifton, N.J.) ; v. 1711. | Springer protocols (Series)Publisher: New York : Humana Press : Springer, ©2018Description: 1 online resource (xi, 402 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781493974931
  • 1493974939
Subject(s): Genre/Form: Additional physical formats: Print version:: Cancer systems biology.DDC classification:
  • 616.99/407 23
LOC classification:
  • RC269.7
NLM classification:
  • W1
  • QZ 200
Online resources:
Contents:
Detection of combinatorial mutational patterns in human cancer genomes by exclusivity analysis / Hua Tan and Xiaobo Zhou -- Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data / Amanda J. Kedaigle and Ernest Fraenkel -- Analyzing DNA methylation patterns during tumor evolution / Heng Pan and Olivier Elemento -- MicroRNA networks in breast cancer cells / Andliena Tahiri, Miriam R. Aure, and Vessela N. Kristensen -- Identifying genetic dependencies in cancer by analyzing siRNA screens in tumor cell Line Panels / James Campbell, Colm J. Ryan, and Christopher J. Lord -- Phosphoproteomics-based profiling of kinase activities in cancer cells / Jakob Wirbel, Pedro Cutillas, and Julio Saez-Rodriguez -- Perseus : a bioinformatics platform for integrative analysis of proteomics data in cancer research / Stefka Tyanova and Juergen Cox -- Quantitative analysis of tyrosine kinase signaling across differentially embedded human glioblastoma tumors / Hannah Johnson and Forest M. White -- Prediction of clinical endpoints in breast cancer using NMR metabolic Ppofiles / Leslie R. Euceda, Tonje H. Haukaas, Tone F. Bathen, and Guro F. Giskeødega°rd -- Stochastic and deterministic models for the metastatic emission process : formalisms and crosslinks / Christophe Gomez and Niklas Hartung -- Mechanically coupled reaction-diffusion model to predict glioma growth : methodological details / David A. Hormuth II, Stephanie L. Eldridge, Jared A. Weis, Michael I. Miga, and Thomas E. Yankeelov -- Profiling tumor infiltrating immune cells with CIBERSORT / Binbin Chen, Michael S. Khodadoust, Chih Long Liu, Aaron M. Newman, and Ash A. Alizadeh -- Systems biology approaches in cancer pathology / Aaron DeWard and Rebecca J. Critchley-Thorne -- Bioinformatics approaches to predict drug responses from genomic sequencing / Neel S. Madhukar and Olivier Elemento -- Robust optimization approach to cancer treatment under toxicity uncertainty / Junfeng Zhu, Hamidreza Badri, and Kevin Leder -- Modeling of interactions between cancer stem cells and their microenvironment : predicting clinical response / Mary E. Sehl and Max S. Wicha -- Methods for high-throughput drug combination screening and synergy scoring / Liye He, Evgeny Kulesskiy, Jani Saarela, Laura Turunen, Krister Wennerberg, Tero Aittokallio, and Jing Tang.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook Protocols Available
Total holds: 0

Includes bibliographical references and index.

Detection of combinatorial mutational patterns in human cancer genomes by exclusivity analysis / Hua Tan and Xiaobo Zhou -- Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data / Amanda J. Kedaigle and Ernest Fraenkel -- Analyzing DNA methylation patterns during tumor evolution / Heng Pan and Olivier Elemento -- MicroRNA networks in breast cancer cells / Andliena Tahiri, Miriam R. Aure, and Vessela N. Kristensen -- Identifying genetic dependencies in cancer by analyzing siRNA screens in tumor cell Line Panels / James Campbell, Colm J. Ryan, and Christopher J. Lord -- Phosphoproteomics-based profiling of kinase activities in cancer cells / Jakob Wirbel, Pedro Cutillas, and Julio Saez-Rodriguez -- Perseus : a bioinformatics platform for integrative analysis of proteomics data in cancer research / Stefka Tyanova and Juergen Cox -- Quantitative analysis of tyrosine kinase signaling across differentially embedded human glioblastoma tumors / Hannah Johnson and Forest M. White -- Prediction of clinical endpoints in breast cancer using NMR metabolic Ppofiles / Leslie R. Euceda, Tonje H. Haukaas, Tone F. Bathen, and Guro F. Giskeødega°rd -- Stochastic and deterministic models for the metastatic emission process : formalisms and crosslinks / Christophe Gomez and Niklas Hartung -- Mechanically coupled reaction-diffusion model to predict glioma growth : methodological details / David A. Hormuth II, Stephanie L. Eldridge, Jared A. Weis, Michael I. Miga, and Thomas E. Yankeelov -- Profiling tumor infiltrating immune cells with CIBERSORT / Binbin Chen, Michael S. Khodadoust, Chih Long Liu, Aaron M. Newman, and Ash A. Alizadeh -- Systems biology approaches in cancer pathology / Aaron DeWard and Rebecca J. Critchley-Thorne -- Bioinformatics approaches to predict drug responses from genomic sequencing / Neel S. Madhukar and Olivier Elemento -- Robust optimization approach to cancer treatment under toxicity uncertainty / Junfeng Zhu, Hamidreza Badri, and Kevin Leder -- Modeling of interactions between cancer stem cells and their microenvironment : predicting clinical response / Mary E. Sehl and Max S. Wicha -- Methods for high-throughput drug combination screening and synergy scoring / Liye He, Evgeny Kulesskiy, Jani Saarela, Laura Turunen, Krister Wennerberg, Tero Aittokallio, and Jing Tang.

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