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Cancer systems biology : methods and protocols

Author: Louise von Stechow
Publisher: New York : Humana Press, [2018] ©2018
Series: Methods in molecular biology (Clifton, N.J.), v. 1711.; Springer protocols (Series)
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
This book comprises protocols describing systems biology methodologies and computational tools,
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Genre/Form: Laboratory Manual
Laboratory manuals
Additional Physical Format: Electronic version:
Cancer systems biology.
New York : Humana Press ; Springer, ©2018
(OCoLC)1019907664
Document Type: Book
All Authors / Contributors: Louise von Stechow
ISBN: 9781493974924 1493974920
OCLC Number: 1001986811
Description: xi, 402 pages : illustrations (some color) ; 27 cm.
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 Profiles / 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.
Series Title: Methods in molecular biology (Clifton, N.J.), v. 1711.; Springer protocols (Series)
Other Titles: Cancer systems biology (Stechow)
Responsibility: edited by Louise von Stechow.

Abstract:

This book comprises protocols describing systems biology methodologies and computational tools,

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