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dc.contributor.authorArmengol, Evaen_US
dc.contributor.authorPlaza, Enricen_US
dc.contributor.editorDubitzky, Werneren_US
dc.contributor.editorAzuaje, Franciscoen_US
dc.date.accessioned2019-03-06T08:06:03Z
dc.date.available2019-03-06T08:06:03Z
dc.date.issued2004en_US
dc.identifier.isbn9781402028595en_US
dc.identifier.isbn9781402028656en_US
dc.identifier.otherHPU1161164en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32077
dc.description.abstractThis book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology. It places an emphasis on the molecular dimension of life phenomena and in one chapter on anatomical and functional modeling of the brain. As design blueprint, the book is intended for scientists and other professionals tasked with developing and using AI technologies in the context of life sciences research. As a user guide, this volume addresses the requirements of researchers to gain a basic understanding of key AI methodologies for life sciences research. Its emphasis is not on an intricate mathematical treatment of the presented AI methodologies. Instead, it aims at providing the users with a clear understanding and practical know-how of the methods. As a research agenda, the book is intended for computer and life science students, teachers, researchers, and managers who want to understand the state of the art of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. Our aim was to maintain the readability and accessibility of a textbook throughout the chapters, rather than compiling a mere reference manual. The book is also intended as a communication platform seeking to bride the cultural and technological gap among key systems biology disciplines. To support this function, contributors have adopted a terminology and approach that appeal to audiences from different backgrounds.en_US
dc.format.extent231 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer Netherlandsen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer scienceen_US
dc.subjectTechnologyen_US
dc.titleArtificial Intelligence Methods And Tools For Systems Biologyen_US
dc.typeBooken_US
dc.size4,433 KBen_US
dc.departmentTechnologyen_US


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