| Titel: | Cancer systems biology |
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| Titelzusatz: | methods and protocols |
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| Mitwirkende: | Stechow, Louise von [HerausgeberIn]  |
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| Verf.angabe: | edited by Louise von Stechow |
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| Verlagsort: | New York, NY, USA |
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| Verlag: | Humana Press |
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| E-Jahr: | 2018 |
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| Jahr: | [2018] |
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| Umfang: | xi, 402 Seiten |
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| Illustrationen: | Illustrationen |
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| Format: | 25.4 cm x 17.8 cm |
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| Gesamttitel/Reihe: | Methods in molecular biology ; 1711 |
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| | Springer protocols |
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| Fussnoten: | Includes bibliographical references and index |
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| Ang. zum Inhalt: | Detection of combinatorial mutational patterns in human cancer genomes by exclusivity analysis / Hua Tan and Xiaobo Zhou |
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| | Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data / Amanda J. Kedaigle and Ernest Fraenkel |
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| | Analyzing DNA methylation patterns during tumor evolution / Heng Pan and Olivier Elemento |
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| | MicroRNA networks in breast cancer cells / Andliena Tahiri, Miriam R. Aure, and Vessela N. Kristensen |
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| | Identifying genetic dependencies in cancer by analyzing siRNA screens in tumor cell Line Panels / James Campbell, Colm J. Ryan, and Christopher J. Lord |
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| | Phosphoproteomics-based profiling of kinase activities in cancer cells / Jakob Wirbel, Pedro Cutillas, and Julio Saez-Rodriguez |
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| | Perseus : a bioinformatics platform for integrative analysis of proteomics data in cancer research / Stefka Tyanova and Juergen Cox |
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| | Quantitative analysis of tyrosine kinase signaling across differentially embedded human glioblastoma tumors / Hannah Johnson and Forest M. White |
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| | 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 |
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| | Stochastic and deterministic models for the metastatic emission process : formalisms and crosslinks / Christophe Gomez and Niklas Hartung |
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| | 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 |
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| | Profiling tumor infiltrating immune cells with CIBERSORT / Binbin Chen, Michael S. Khodadoust, Chih Long Liu, Aaron M. Newman, and Ash A. Alizadeh |
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| | Systems biology approaches in cancer pathology / Aaron DeWard and Rebecca J. Critchley-Thorne |
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| | Bioinformatics approaches to predict drug responses from genomic sequencing / Neel S. Madhukar and Olivier Elemento |
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| | Robust optimization approach to cancer treatment under toxicity uncertainty / Junfeng Zhu, Hamidreza Badri, and Kevin Leder |
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| | Modeling of interactions between cancer stem cells and their microenvironment : predicting clinical response / Mary E. Sehl and Max S. Wicha |
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| | 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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| ISBN: | 978-1-4939-7492-4 |
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| | 1-4939-7492-0 |
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| Bestellnr.: | Bestellnummer: 978-1-4939-7492-4 |
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| | Bestellnummer: 86534461 |
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| Schlagwörter: | (s)Krebs <Medizin> / (s)Molekularbiologie |
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| | (s)Krebs <Medizin> / (s)Systembiologie |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Online-Ausgabe: Cancer Systems Biology. - New York, NY : Humana Press, 2018. - Online-Ressource (XI, 402 p. 86 illus., 76 illus. in color, online resource) |
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| RVK-Notation: | WC 5800 |
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| K10plus-PPN: | 101325662X |
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| Verknüpfungen: | → Übergeordnete Aufnahme |
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