The main focus is on the analysis of next-generation-sequencing assays, both for the interpretation of the DNA sequence per se and for the study of gene regulation and epigenomics. The advent of high-throughput experimental assays,...Loe edasi...
The advent of high-throughput experimental assays, and in particular of next-generation sequencing, has revolutionized life sciences by enabling the generation of data at the scale of the whole genome. Extracting biologically useful or clinically...Loe edasi...
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 a...Loe edasi...
The field of metagenomics has revolutionized our comprehension of microbial diversity and function across various habitats, from the human body to terrestrial and aquatic environments. Simultaneously, advancements in AI have empowered researchers...Loe edasi...
This book introduces the rapidly evolving field of multi-omics in understanding the human microbiome. The book focuses on the technology used to generate multi-omics data, including advances in next-generation sequencing and other high-throughput...Loe edasi...
Advances in high-throughput biological methods have led to the publication of a large number of genome-wide studies in human and animal models. In this context, recent tools from bioinformatics and computational biology have been fundamental for t...Loe edasi...
This book is a revised version of the PhD dissertation written by the author to receive her PhD from the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy. The work deals with one of the central objectiv...Loe edasi...
This book addresses the issue of improving the accuracy in exon prediction in DNA sequences using various adaptive techniques based on different performance measures that are crucial in disease diagnosis and therapy. First, the authors present an...Loe edasi...
Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of m...Loe edasi...
(Ilmumisaeg: 19-Jun-2023, Paperback / softback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119573371)
Perform genome analysis and sequencing of data with Amazon Web Services Genomics in the AWS Cloud: Analyzing Genetic Code Using Amazon Web Services enables a person who has moderate familiarity with AWS Cloud to perform full g...Loe edasi...
This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification an...Loe edasi...
Tremendous progress has been made in the war on cancer, leading to improvements in cancer prevention, detection, and treatment. Together, these advances have resulted in decreasing incidences and a steadily declining death rate from cancer....Loe edasi...
The objective is to prepare students and scientists to analyze genomics data using empirical Bayes methods and to critically evaluate the statistical methods appearing in genomics articles. That is accomplished by providing the information needed...Loe edasi...
This book has fundamental theoretical and practical aspects of data analysis, useful for beginners and experienced researchers that are looking for a recipe or an analysis approach. Since R has many packages, even experienced researchers look for...Loe edasi...
Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine provides a comprehensive overview of current and emerging issues in genomic data sharing. In this book, international leaders in genomic data examine t...Loe edasi...
Data Science for Genomics presents the foundational concepts of data science as they pertain to genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, sug...Loe edasi...
This practical guide bridges the gap between general cloud computing architecture in Microsoft Azure and scientific computing for bioinformatics and genomics. Youll get a solid understanding of the architecture patterns and services that are offe...Loe edasi...
Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of m...Loe edasi...
This book will help you learn how to build and tune state-of-the-art machine learning and deep learning models using Python and industry-standard libraries for deriving biological insights from large amounts of multimodal genomic datasets. Youll al...Loe edasi...
This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification an...Loe edasi...
