| Record ID | marc_columbia/Columbia-extract-20221130-015.mrc:46327105:5146 |
| Source | marc_columbia |
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LEADER: 05146cam a22004938a 4500
001 7144068
005 20221130211516.0
008 081027s2009 nju 000 0 eng
010 $a 2009920380
015 $aGBA8D1615$2bnb
016 7 $a014821928$2Uk
016 7 $a101502692$2DNLM
020 $a9781588299055 (hbk.)
020 $a1588299058 (hbk.)
029 1 $aNLM$b101502692
029 1 $aBWX$bR2778733
029 1 $aCDX$b5835109
035 $a(OCoLC)ocn276225729
035 $a(NNC)7144068
035 $a(OCoLC)276225729
035 $a7144068
040 $aUKM$cUKM$dYDXCP$dNLM$dPAU$dBWX$dCDX$dCOU$dOrLoB-B
050 4 $aQH506$b.M45 v.541 2009
060 00 $aW1$bME9616J v.541 2009
060 10 $aQU 26.5$bC73783 2009
082 04 $a570.113$222
245 00 $aComputational systems biology /$cedited by Jason McDermott [and others].
260 $aTotowa, N.J. :$bHumana ;$aLondon :$bSpringer [distributor],$c2009.
263 $a200902
300 $axviii, 587 pages :$billustrations (some color) ;$c27 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aMethods in molecular biology ;$v541
490 1 $aSpringer protocols
504 $aIncludes bibliographical references and index.
505 00 $gPt. I.$tNetwork Components -- $g1.$tIdentification of cis-Regulatory Elements in Gene Co-expression Networks Using A-GLAM /$rLeonardo Marino-Ramirez, Kannan Tharakaraman, Olivier Bodenreider, John Spouge and David Landsman -- $g2.$tStructure-Based Ab Initio Prediction of Transcription Factor-Binding Sites /$rL. Angela Liu and Joel S. Bader -- $g3.$tInferring Protein-Protein Interactions from Multiple Protein Domain Combinations /$rSimon P. Kanaan, Chengbang Huang, Stefan Wuchty, Danny Z. Chen and Jesus A. Izaguirre -- $g4.$tPrediction of Protein-Protein Interactions: A Study of the Co-evolution Model /$rItai Sharon, Jason V. Davis and Golan Tona -- $g5.$tComputational Reconstruction of Protein-Protein Interaction Networks: Algorithms and Issues /$rEric Franzosa, Bolan Linghu and Tu Xia -- $g6.$tPrediction and Integration of Regulatory and Protein-Protein Interactions /$rDuangdao Wichadakul, Jason McDermott and Ram SamuArala -- $g7.$tDetecting Hierarchical Modularity in Biological Networks /$rErzsebet Ravasz -- $gPt. II.$tNetwork Inference -- $g8.$tMethods to Reconstruct and Compare Transcriptional Regulatory Networks /$rM. Madan Babu, Benjamin Lang and L. Aravind -- $g9.$tLearning Global Models of Transcriptional Regulatory Networks from Data /$rAviv Madar and Richard Bonneau -- $g10.$tInferring Molecular Interactions Pathways from eQTLData /$rImran Rashid, Jason McDermott and Ram Samudrala -- $g11.$tMethods for the Inference of Biological Pathways and Networks /$rRoger E. Bumgarner and Ka Tee Teung -- $gPt. III.$tNetwork Dynamics -- $g12.$tExploring Pathways from Gene Co-expression to Network Dynamics /$rHuai Li, Yu Sun and Ming Zhan -- $g13.$tNetwork Dynamics /$rHerbert M. Sauro -- $g14.$tKinetic Modeling of Biological Systems /$rHaluk Resat, Linda Petzold and Michel F. Pettigrew -- $g15.$tGuidance for Data Collection and Computational Modelling of Regulatory Networks /$rAdam Christopher Palmer and Keith Edward Shearwin -- $gPt. IV.$tFunction and Evolutionary Systems Biology -- $g16.$tA Maximum Likelihood Method for Reconstruction of the Evolution of Eukaryotic Gene Structure /$rLiran Carmel, Igor B. Rogozin, Yuri I. Wolf and Eugene V. Koonin -- $g17.$tEnzyme Function Prediction with Interpretable Models /$rUmar Syed and Golan Yona -- $g18.$tUsing Evolutionary Information to Find Specificity-Determining and Co-evolving Residues /$rGrigory Kolesov and Leonid A. Mirny -- $g19.$tConnecting Protein Interaction Data Mutations Disease Using Bioinformatics /$rJake Y. Chen, Eunseqg Youn and Sean D. Mooney -- $g20.$tEffects of Functional Bias on Supervised Learning of a Gene Network Model /$rInsuk Lee and Edward M. Marcotte -- $gPt. V.$tComputational Infrastructure for Systems Biology -- $g21.$tComparing Algorithms for Clustering of Expression Data: How to Assess Gene Clusters /$rGolan Yona, William Dirks and Shafquat Rahman -- $g22.$tThe Bioverse API and Web Application /$rMichal Guerquin, Jason McDermott, Zach Frazier and Ram Samudrala -- $g23.$tComputational Representation of Biological Systems /$rZach Frazier, Jason McDermott, Michal Guerquin and Ram Samudrala -- $g24.$tBiological Network Inference and Analysis Using SEBINI and CABIN /$rRonald Taylor and Mudita Singhal.
650 0 $aComputational biology.$0http://id.loc.gov/authorities/subjects/sh2003008355
650 0 $aSystems biology.$0http://id.loc.gov/authorities/subjects/sh2008002926
650 12 $aComputational Biology.$0https://id.nlm.nih.gov/mesh/D019295
650 22 $aSystems Biology.$0https://id.nlm.nih.gov/mesh/D049490
700 1 $aMcDermott, Jason.$0http://id.loc.gov/authorities/names/n2009181705
830 0 $aMethods in molecular biology (Clifton, N.J.) ;$vv. 541.$0http://id.loc.gov/authorities/names/n92002874
830 0 $aSpringer protocols (Series)$0http://id.loc.gov/authorities/names/no2008180772
852 00 $boff,bio$hQH324.2$i.C648 2009g