Computational intelligence genomics data (11 Ergebnisse)

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Zustand: New. Provides comparative analysis of machine learning and deep learning methods in the analysis of genomic data, discussing major design challenges, best practices, pitfalls, and research potentialExplores machine and deep learning techniques a.

Taschenbuch. Zustand: Neu. Neuware - Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.…

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dragomir AndreiReceived his B.S. in Electrical Engineering fromnthe Politehnica University, Bucharest, Romania and his M.S. andnPh.D. in Biomedical Engineering from the University of Patras,nGreece. He joined the Harrington Departmen.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The advent of efficient genome sequencing tools andhigh-throughput experimental biotechnology has leadto an enormous progress in life sciences. Among themost important innovations is the microarraytechnology, which allowed whole genome measurementsat transcriptional level. The characteristics of thisdata include a fair amount of noise and an atypicaldimensionality (which makes difficult the use ofclassic statistics tools experimental samples inthe order of dozens and measured parameters inthousands or tens of thousands). Therefore, this bookpresents a series of computational methods andalgorithms, capable of extracting valuable biologicalknowledge from this type of data. Applications ofmicroarrays and subsequent gene expression analysisrange from the assignment of functional categoriesfor genes of unknown biological function, to preciseand early diagnosis of different tumor malignancies.Besides these, a central goal of computationalanalysis of gene expression data is the extraction ofregulatory knowledge at genetic level that may beused to provide a broader understanding on thefunctioning of complex cellular systems. …

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Paperback. Zustand: Brand New. 300 pages. 9.25x7.50x0.79 inches. In Stock. This item is printed on demand.