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[null,"1.","Record Nr.",null,"UNINA9910131029103321"]
[null,null,"Titolo",null,"Applied statistics for network biology : methods in system biology / / edited by Matthias Dehmer ... [et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Weinheim, Germany, : Wiley-Blackwell, 2011"]
[null,null,"ISBN",null,"9786613140951"]
[{"$nulls":4},"9781283140959"]
[{"$nulls":4},"1283140950"]
[{"$nulls":4},"9783527638086"]
[{"$nulls":4},"3527638083"]
[{"$nulls":4},"9783527638093"]
[{"$nulls":4},"3527638091"]
[{"$nulls":4},"9783527638079"]
[{"$nulls":4},"3527638075"]
[null,null,"Descrizione fisica",null,"1 online resource (480 p.)"]
[null,null,"Collana",null,"Quantitative and network biology ; ; v. 1"]
[null,null,"Disciplina",null,"570.727"]
[null,null,"Soggetti",null,"Systems biology - Statistical methods"]
[{"$nulls":4},"Genomics"]
[{"$nulls":4},"Computational biology"]
[{"$nulls":4},"Bioinformatics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"pt. 1. Modeling, simulation, and meaning of gene networks -- pt. 2. Inference of gene networks -- pt. 3. Analysis of gene networks -- pt. 4. Systems approach to diseases."]
[null,null,null,"Sommario/riassunto","The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and metabolomic data sets. In particular in the field of systems biology, researchers are trying to analyze as many data as possible in a given biological system (such as a cell or an organ). The appropriate statistical evaluation of these large scale data is critical for the correct interpretation and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by biostatisticians and mathemati"]
[null,"2.","Record Nr.",null,"UNINA9911004710203321"]
[null,null,"Titolo",null,"Advances in the study of fractured reservoirs"]
[null,null,"Pubbl/distr/stampa",null,"[Place of publication not identified], : The Geological Society, 2014"]
[null,null,"ISBN",null,"1-78620-216-6"]
[{"$nulls":4},"1-5231-2255-2"]
[null,null,"Collana",null,"Geological Society special publication Advances in the study of fractured reservoirs"]
[null,null,"Disciplina",null,"553.28"]
[null,null,"Soggetti",null,"Hydrocarbon reservoirs - Fracture"]
[{"$nulls":4},"Rocks"]
[{"$nulls":4},"Mechanical Engineering"]
[{"$nulls":4},"Engineering & Applied Sciences"]
[{"$nulls":4},"Metallurgy & Mineralogy"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"Investigating fracture networks using outcrop, core and geophysical data -- Numerical and statistical simulations and models -- Case studies."]
[null,null,null,"Sommario/riassunto","Naturally fractured reservoirs constitute a substantial percentage of remaining hydrocarbon resources; they create exploration targets in otherwise impermeable rocks, including under-explored crystalline basement; and they can be used as geological stores for anthropogenic carbon dioxide. Their complex behaviour during production has traditionally proved difficult to predict, causing a large degree of uncertainty in reservoir development. The applied study of naturally fractured reservoirs seeks to constrain this uncertainty by developing new understanding, and is necessarily a broad, integrated, interdisciplinary topic. This book addresses some of the challenges and advances in knowledge, approaches, concepts, and methods used to characterize the interplay of rock matrix and fracture networks, relevant to fluid flow and hydrocarbon recovery. Topics include: describing, characterizing and identifying controls on fracture networks from outcrops, cores, geophysical data, digital and numerical models; geomechanical influences on reservoir behaviour; numerical modelling and simulation of fluid flow; and case studies of the exploration and development of carbonate, siliciclastic and metamorphic naturally "]
[{"$nulls":4},"fractured reservoirs. --"]