Microbiome And Machine Learning
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Microbiome And Machine Learning Volume Ii
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Author : Erik Bongcam-Rudloff
language : en
Publisher: Frontiers Media SA
Release Date : 2024-10-24
Microbiome And Machine Learning Volume Ii written by Erik Bongcam-Rudloff 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 2024-10-24 with Science categories.
Due to the success of Microbiome and Machine Learning, which collected research results and perspectives of researchers working in the field of machine learning (ML) applied to the analysis of microbiome data, we are launching the second volume to collate any new findings in the field to further our understanding and encourage the participation of experts worldwide in the discussion. The success of ML algorithms in the field is substantially due to their capacity to process high-dimensional data and deal with uncertainty and noise. However, to maximize the combinatory potential of these emerging fields (microbiome and ML), researchers have to deal with some aspects that are complex and inherently related to microbiome data. Microbiome data are convoluted, noisy and highly variable, and non-standard analytical methodologies are required to unlock their clinical and scientific potential. Therefore, although a wide range of statistical modelling and ML methods are available, their application is only sometimes optimal when dealing with microbiome data.
Microbiome And Machine Learning
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Author : Isabel Moreno Indias
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-02
Microbiome And Machine Learning written by Isabel Moreno Indias 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 2022-08-02 with Science categories.
Harnessing Machine Learning To Decode Plant Microbiome Dynamics For Sustainable Agriculture
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Author : Eman Mohammad Khalaf
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-17
Harnessing Machine Learning To Decode Plant Microbiome Dynamics For Sustainable Agriculture written by Eman Mohammad Khalaf 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 2025-06-17 with Science categories.
The field of plant-associated microbiomes has garnered significant attention due to its potential to address global food insecurity, particularly in low and middle-income countries. As the global population continues to grow, improving crop yield and productivity through advanced breeding programs has become imperative. Plants and their associated microbial communities have co-evolved over millennia, forming intricate relationships that significantly impact plant health and fitness. Recent studies have highlighted the benefits of these microbial communities, such as enhanced growth, improved nutrient uptake, and increased tolerance to environmental stresses. Despite these advancements, traditional methods of analyzing multi-omics data—such as meta-genomics, meta-transcriptomics, and meta-proteomics—are often inadequate. These methods struggle with false positives and fail to capture the interaction effects between variables, leaving gaps in our understanding of how microbiomes influence plant phenotypes. The advent of machine-learning (ML) algorithms has revolutionized this field, offering new ways to analyze complex microbiome data and predict their impact on plant traits.
Machine Learning And Deep Learning Applications In Pathogenic Microbiome Research
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Author : Gang Ye
language : en
Publisher: Frontiers Media SA
Release Date : 2024-09-30
Machine Learning And Deep Learning Applications In Pathogenic Microbiome Research written by Gang Ye 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 2024-09-30 with Science categories.
The pathogenic microbiome is the community of microorganisms that live in humans or animals and cause disease. These microorganisms include bacteria, viruses, fungi, protozoa, etc. They usually live in the host's skin, mouth, intestinal tract, genitourinary tract, etc. Normally, there is a state of equilibrium between the host and these microorganisms, but when this equilibrium is disturbed, these microorganisms become the pathogenic microbiome and cause disease. To advance the field of microbiome research, artificial intelligence methods, especially machine learning and deep learning, have recently been used as important tools due to their powerful predictive and informative potential. Classical machine learning algorithms such as linear regression, random forests, support vector machines, etc. perform well on microbiome data. However, as algorithms have been iteratively updated, these models have long been relegated to the basics. Linear regression models are now more often used to interpret these models more intuitively by using the output of other models as input. Deep learning is a branch of machine learning that involves a large number of neural network structures. Deep learning relies on neurons whose role is to transform the input and propagate it forward to the next neuron. Deep learning is currently being used with spectacular success in areas such as image recognition, text processing and automatic translation. As a result, a growing number of researchers are attempting to apply deep learning techniques to biomedical data analysis. Although there are still challenges in practical applications, such as model interpretability, data availability, model evaluation and selection, machine learning and deep learning are very promising tools in pathogenic microbiome research. This Research Topic, therefore, aims to contribute to the latest advances in machine learning, especially deep learning, and to explore new applications of related techniques in pathogenic microbiome research, trying to find relationships between microbiome and human health as well as the environment by studying high-throughput sequencing data of microbes, laying the foundation for further applications for subsequent treatment or forensic identification. We welcome submissions of Original Research, Brief Research Report, Review, Mini-Review, Methods, Perspective and Opinion articles that focus on, but are not limited to, the utilization of machine learning and deep learning to address the following subtopics. 1. Classification and identification of pathogenic microorganisms 2. Virulence prediction of pathogenic microorganisms 3. Antimicrobial resistance prediction of pathogenic microorganisms 4. Population structure and epidemiology of pathogenic microorganisms-related diseases 5. Immunological studies of pathogenic microorganisms 6. Drug target prediction for pathogenic microorganisms-related diseases
Deep Learning With Python
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Author : Nikhil Ketkar
language : en
Publisher: Apress
Release Date : 2021-04-10
Deep Learning With Python written by Nikhil Ketkar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-10 with Computers categories.
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook’s Artificial Intelligence Research Group. You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models. All the key architectures in deep learning are covered, including feedforward networks, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders and generative adversarial networks. Backed by a number of tricks of the trade for training and optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch. What You'll Learn Review machine learning fundamentals such as overfitting, underfitting, and regularization. Understand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent. Apply in-depth linear algebra with PyTorch Explore PyTorch fundamentals and its building blocks Work with tuning and optimizing models Who This Book Is For Beginners with a working knowledge of Python who want to understand Deep Learning in a practical, hands-on manner.
Physiology Or Medicine 1901 1921
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Author :
language : en
Publisher: World Scientific
Release Date : 1999
Physiology Or Medicine 1901 1921 written by and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Medical categories.
Human Microbiome
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Author : Mohsin Khurshid
language : en
Publisher: Springer Nature
Release Date : 2024-09-14
Human Microbiome written by Mohsin Khurshid and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Medical categories.
This book is a comprehensive guide on microbiome research, from the fundamentals of to the latest advancements in microbiome-based therapeutics. The initial chapters introduce the concept of the human microbiome delving into the intricate relationship between the human host and its microbiome. The chapter also examines the various tools and techniques used in microbiome research and the role of computational biology in analyzing vast amounts of microbiome data. The subsequent chapters review the role of the microbiome in various health conditions, including metabolic disorders, immunological disorders, gastrointestinal tract disorders, management of cancers, metabolic disorders, and mental health disorders. Towards the end, the book examines the regulatory considerations surrounding microbiome-based therapeutics, and ethical considerations surrounding microbiome-based therapeutics. This book is a comprehensive and cutting-edge guide for researchers, healthcare professionals, and students interested in the field of microbiome research and its potential for transforming healthcare.
Microbiome And Microbial Informatics
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Author : Zheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-24
Microbiome And Microbial Informatics written by Zheng Zhang 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 2022-11-24 with Science categories.
Statistical And Computational Methods For Microbiome Multi Omics Data
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Author : Himel Mallick
language : en
Publisher: Frontiers Media SA
Release Date : 2020-11-19
Statistical And Computational Methods For Microbiome Multi Omics Data written by Himel Mallick 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 2020-11-19 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.
Human Microbiome
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-06-16
Human Microbiome 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 2021-06-16 with Medical categories.
The book is mainly of interest to researchers in the field of the human microbiome. A lot of new useful knowledge can also be learned from this book by doctors who use scientific achievements for diagnosis and treatment, as well as postgraduate students who participate in research projects on the role of microbiota in pathophysiological processes. This book reflects current data on both methods of studying the microbiota and methods of its correction. Special attention is paid to the role of the microbiota in diseases such as stroke, cancer, autism, allergies, psoriasis, colitis, liver diseases, etc.; the mechanisms of interaction of the microbiota with drugs and natural products are considered. The scientific editors were happy to work on this book and hope that it will be useful to readers.