doina caragea pgapglcrksuedu call chapters submission deadlines proposals due june 15 2007 full manuscripts due december 15 2007 computational methodologies gene regulatory networks url wwwksueducmgrn email tnmrmksuedu book edited doina caragea sanjoy das w h hsu stephen welch kansas state university usa list authors alphabetical order introduction recent advances gene sequencing technology shedding light complex interplay genes elicit phenotypic behavior characteristic given organism known order mediate external well internal signals organisms genes organized complex signaling pathways unfortunately unraveling specific details genetic pathways interact regulate development life histories respond environmental cues proving daunting task wide variety models depicting genegene interactions commonly referred gene regulatory networks grns proposed wide variety computational tools available modeling gene regulatory networks overall objectives gene regulatory network grn must able mimic experimentally observed behavior also computationally tractable circumstances model simplicity important tradeoff functional fidelity modeling approaches taken researchers wide disparate gene regulatory networks modeled entirely using nonparametric approaches bayesian neural networks others represent genes physically realistic differential equation formats book focus computational methods widely used modeling gene regulatory networks including structure discovery learning optimization research survey papers welcome target audience biologists book provide comprehensive overview computational intelligence approaches learning optimization use gene regulatory networks biologists computer scientists book assist computer scientists interested gene regulatory network modeling classroom instructors students although textbook book serve excellent reference supplementary material graduate students book would bridge gap artificial intelligence genomic research communities useful graduate students considering interdisciplinary research direction practicing computer scientists geneticists book would useful interested gene regulatory network modeling recommended topics recommended topics include limited following introduction grns introduction graphical approaches grns bayesian network models gene network models petri nets grn models dynamic bayesian network grns structure learning grns neural network based grns boolean grns temporal boolean grns probabilistic boolean grns machine learning boolean networks grns differential equation based grns stochastic optimization algorithms grns evolutionary optimization grns grns using ssystem formalism optimization ssystem grns submission procedure researchers practitioners invited submit june 15 2007 25 page manuscript proposal clearly explaining mission concerns proposed chapter authors accepted proposals notified july 15 2007 status proposals sent chapter organizational guidelines full chapters due december 15 2007 submitted chapters reviewed doubleblind review basis book scheduled published igi global wwwigipubcom publisher igi publishing formerly idea group publishing information science publishing irm press cybertech publishing information science reference formerly idea group reference imprints inquiries inquiries submissions forwarded electronically pdf word document tnmrmksuedu information found proposed books website wwwksueducmgrn individual authors also contacted directly dr sanjoy das elect comp engg dept kansas state university hexuksuedu tel 785 5324642 dr doina caragea comp info sci dept kansas state university pgapglcrksuedu tel 785 5327908 dr william h hsu comp info sci dept kansas state university vcnyksuedu tel 785 5326350 dr stephen welch dept agronomy kansas state university tpfkiirksuedu tel 785 5327236 thu 07 aug 2008 172822 0500 uai cfc computational methodologies gene regulatory networks