The Locator -- [(subject = "Systems biology")]

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04200aam a2200397 i 4500
001 ABC49152580511E8A8F83C5097128E48
003 SILO
005 20180515010114
008 170828t20182018nyua     b    001 0deng d
010    $a 2017961108
020    $a 1493974920
020    $a 9781493974924
035    $a (OCoLC)1001986811
040    $a YDX $b eng $e rda $c YDX $d OCLCO $d GZM $d NUI $d SILO
245 00 $a Cancer systems biology : $b methods and protocols / $c edited by Louise von Stechow.
264  1 $a New York : $b Humana Press, $c [2018]
300    $a xi, 402 pages : $b illustrations (some color) ; $c 26 cm.
490 1  $a Springer Protocols, $x 1949-2448
490 1  $a Methods in molecular biology, $x 1064-3745 ; $v v. 1711
504    $a Includes bibliographical references and index.
505 00 $t Methods for high-throughput drug combination screening and synergy scoring / $r Liye He, Evgeny Kulesskiy, Jani Saarela, Laura Turunen, Krister Wennerberg, Tero Aittokallio, and Jing Tang. $t Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data / $r Amanda J. Kedaigle and Ernest Fraenkel -- $t Analyzing DNA methylation patterns during tumor evolution / $r Heng Pan and Olivier Elemento -- $t MicroRNA networks in breast cancer cells / $r Andliena Tahiri, Miriam R. Aure, and Vessela N. Kristensen -- $t Identifying genetic dependencies in cancer by analyzing siRNA screens in tumor cell Line Panels / $r James Campbell, Colm J. Ryan, and Christopher J. Lord -- $t Phosphoproteomics-based profiling of kinase activities in cancer cells / $r Jakob Wirbel, Pedro Cutillas, and Julio Saez-Rodriguez -- $t Perseus : a bioinformatics platform for integrative analysis of proteomics data in cancer research / $r Stefka Tyanova and Juergen Cox -- $t Quantitative analysis of tyrosine kinase signaling across differentially embedded human glioblastoma tumors / $r Hannah Johnson and Forest M. White -- $t Prediction of clinical endpoints in breast cancer using NMR metabolic Ppofiles / $r Leslie R. Euceda, Tonje H. Haukaas, Tone F. Bathen, and Guro F. Giskeødega°rd -- $t Stochastic and deterministic models for the metastatic emission process : formalisms and crosslinks / $r Christophe Gomez and Niklas Hartung -- $t Mechanically coupled reaction-diffusion model to predict glioma growth : methodological details / $r David A. Hormuth II, Stephanie L. Eldridge, Jared A. Weis, Michael I. Miga, and Thomas E. Yankeelov -- $t Profiling tumor infiltrating immune cells with CIBERSORT / $r Binbin Chen, Michael S. Khodadoust, Chih Long Liu, Aaron M. Newman, and Ash A. Alizadeh -- $t Systems biology approaches in cancer pathology / $r Aaron DeWard and Rebecca J. Critchley-Thorne -- $t Bioinformatics approaches to predict drug responses from genomic sequencing / $r Neel S. Madhukar and Olivier Elemento -- $t Robust optimization approach to cancer treatment under toxicity uncertainty / $r Junfeng Zhu, Hamidreza Badri, and Kevin Leder -- $t Modeling of interactions between cancer stem cells and their microenvironment : predicting clinical response / $r Mary E. Sehl and Max S. Wicha -- $t Methods for high-throughput drug combination screening and synergy scoring / $r Liye He, Evgeny Kulesskiy, Jani Saarela, Laura Turunen, Krister Wennerberg, Tero Aittokallio, and Jing Tang.
520    $a This book comprises protocols describing systems biology methodologies and computational tools,
650  0 $a Cancer cells $v Laboratory manuals.
650  0 $a Systems biology $v Laboratory manuals.
650  2 $a Neoplasms. $0 (DNLM)D009369
650  2 $a Systems Biology $x methods. $0 (DNLM)D049490Q000379
655  7 $a Laboratory manuals. $2 lcgft
655  2 $a Laboratory Manuals. $0 (DNLM)D020484
700 1  $a Stechow, Louise von, $e editor.
776 08 $i Electronic version: $t Cancer systems biology. $d New York : Humana Press ; Springer, ©2018 $z 9781493974931 $w (OCoLC)1019907664
773 18 $w 990001282000202771 $g v:1711
830  0 $a Methods in molecular biology (Clifton, N.J.) ; $v v. 1711, $x 1064-3745
830  0 $a Springer protocols (Series), $x 1949-2448
941    $a 1
952    $l OVUX522 $d 20181116041840.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=ABC49152580511E8A8F83C5097128E48

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