Machine Learning In Genome Wide Association Studies
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Machine Learning In Genome Wide Association Studies
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Author : Ting Hu
language : en
Publisher: Frontiers Media SA
Release Date : 2020-12-15
Machine Learning In Genome Wide Association Studies written by Ting Hu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Science categories.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Artificial Intelligence
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-07-31
Artificial Intelligence written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-31 with Medical categories.
Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.
Deep Learning For Genome Wide Association Studies
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Author : Deepak Sharma
language : en
Publisher:
Release Date : 2022
Deep Learning For Genome Wide Association Studies written by Deepak Sharma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
"Genome-Wide Association Studies (GWAS) are a popular tool in statistical genomics that are used to identify genetic variants associated with various dis- eases. However, their success has been limited, in part because they typically do not incorporate interactions between variants to model target traits. Since Deep neural networks have been successful across domains abundant with com- plex signals, like speech, language, and vision, they are also popular candidates for modelling interactions between genetic variants. However, their black-box nature is a hindrance to their application for GWAS. In this thesis, we present a pipeline to train and interpret feedforward neu- ral networks to conduct a genome-wide association study (GWAS). We show that trained deep neural networks can be interpreted using feature-importance techniques to accurately distinguish and rank simulated causal genetic variants. We improve its accuracy by extending the pipeline to the multi-task setting, wherein we simultaneously model two related, simulated traits. We demon- strate the accuracy, reliability, and scalability of our approach by identifying most known Diabetes genetic risk factors found using a conventional GWAS on the UK Biobank"--
Multivariate Statistical Machine Learning Methods For Genomic Prediction
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Author : Osval Antonio Montesinos López
language : en
Publisher: Springer Nature
Release Date : 2022-02-14
Multivariate Statistical Machine Learning Methods For Genomic Prediction written by Osval Antonio Montesinos López and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.
This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine
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Author : Tao Zeng
language : en
Publisher: Frontiers Media SA
Release Date : 2020-03-30
Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine written by Tao Zeng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-30 with categories.
Deep Learning In Genetics And Genomics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28
Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.
Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene regulation, and the broader genomics landscape. The book not only covers the most up-to-date advancements in the field of deep learning in genetics and genomics, but also a wide spectrum of (sub) topics including medical and clinical genetics, predictive medicine, transcriptomic, and gene expression studies. In 21 chapters Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications describes how AI and DL have become increasingly useful in genetics and genomics research where both play a crucial role by accelerating research, improving the understanding of the human genome, and enabling personalized healthcare. From the fundamentals concepts and practical applications of deep learning algorithms to a wide range of challenging problems from genetics and genomics, Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications creates a better knowledge of the biological and genetics mechanisms behind disease illnesses and improves the forecasting abilities using the different methodologies described. This title offers a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning-based approaches in genetics and genomics, helping researchers process and interpret vast amounts of genetic data, identify patterns, and make discoveries that would be challenging or impossible using traditional methods. - Brings together fundamental concepts of genetics, genomics, and deep learning - Includes how to build background of solution methodologies and design of mathematical and logical algorithms - Delves into the intersection of deep learning and genetics, offering a comprehensive exploration of how deep learning techniques can be applied to various aspects of genomics
Machine Learning And Iot
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Author : Shampa Sen
language : en
Publisher: CRC Press
Release Date : 2018-07-04
Machine Learning And Iot written by Shampa Sen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-04 with Computers categories.
This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.
Genome Wide Association Studies And Genomic Selection For Crop Improvement In The Era Of Big Data
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Author : Nunzio D’Agostino
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-05
Genome Wide Association Studies And Genomic Selection For Crop Improvement In The Era Of Big Data written by Nunzio D’Agostino and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-05 with Science categories.
Statistical Methods Computing And Resources For Genome Wide Association Studies
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Author : Riyan Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2021-08-24
Statistical Methods Computing And Resources For Genome Wide Association Studies written by Riyan Cheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Science categories.
Frontiers In Oncology World Cancer Day 2019 Special Edition
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Author : Giuseppe Giaccone
language : en
Publisher: Frontiers Media SA
Release Date : 2019-02-04
Frontiers In Oncology World Cancer Day 2019 Special Edition written by Giuseppe Giaccone and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-04 with categories.
Advances in cancer research over the recent decades have been plentiful and often successful, with 5 year survival rates increasing almost uniformly across the board. The advent of new technologies has presented solutions for yesterday’s barriers to research, allowing us to leap forward in our ability to prevent, diagnose, and treat various cancers. Developments in omics studies has provided new insights into the underlying molecular basis of different cancers and their subtypes, greatly enhancing our understanding of the vast heterogeneity that exists. Progress in our ability to diagnose and detect early-stage cancers has resulted in numerous screening and prevention programs. Novel imaging technologies allow us to study and comprehend cancers with greater clarity than ever before. Although the field, as a whole, has experienced many successes, arduous challenges must be overcome in order to see continued success. The truth of the matter is cancer related deaths continue to rise in number worldwide, especially in lower- and middle-income countries. It is evident that there is still a lot of work to be done. This Frontiers in Oncology Special Issue marks the 1st edition of a collection of selected articles published in the journal over the course of the previous calendar year, highlighting ongoing research and advances being carried out in the different disciplines of cancer research.