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Title:
Cancer systems biology : methods and protocols / edited by Louise von Stechow.
Publisher:
Humana Press,
Copyright Date:
2018
Description:
xi, 402 pages : illustrations (some color) ; 26 cm.
Subject:
Cancer cells--Laboratory manuals.
Systems biology--Laboratory manuals.
Neoplasms.
Systems Biology--methods.
Laboratory manuals.
Laboratory Manuals.
Other Authors:
Stechow, Louise von, editor.
Notes:
Includes bibliographical references and index.
Contents:
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. 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.
Summary:
This book comprises protocols describing systems biology methodologies and computational tools,
Series:
Springer Protocols, 1949-2448
Methods in molecular biology, 1064-3745 ; v. 1711
ISBN:
1493974920
9781493974924
OCLC:
(OCoLC)1001986811
LCCN:
2017961108
Locations:
OVUX522 -- University of Iowa Libraries (Iowa City)

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