Enhancing Feature Selection For Microarray Data Classification
DOWNLOAD
Download Enhancing Feature Selection For Microarray Data Classification PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Enhancing Feature Selection For Microarray Data Classification book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Enhancing Feature Selection For Microarray Data Classification
DOWNLOAD
Author : Deepak Raj
language : en
Publisher: Younus Publication
Release Date : 2023-07-10
Enhancing Feature Selection For Microarray Data Classification written by Deepak Raj and has been published by Younus Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-10 with categories.
This focuses on improving the feature selection model for the classification of microarray data, which plays a critical role in various biological applications. Microarray technology allows the simultaneous measurement of thousands of gene expressions, providing valuable insights into gene functions, disease diagnosis, and drug discovery. However, the high dimensionality of microarray data poses challenges for accurate classification. In this research, we propose an enhanced feature selection model that incorporates advanced machine learning techniques and optimization algorithms. Our approach goes beyond considering individual gene expression values and takes into account the interactions and dependencies among genes. By capturing complex relationships within the data, our model aims to identify a subset of highly informative features that contribute significantly to classification accuracy. The proposed model will be evaluated using benchmark microarray datasets, comparing its performance against existing feature selection methods. We will assess the model's ability to accurately classify microarray data while simultaneously reducing dimensionality and improving interpretability. By achieving higher classification accuracy, our model can aid in accurate disease diagnosis, biomarker discovery, and personalized medicine. Additionally, the computational efficiency of the feature selection process will be a focus of our research. We aim to develop a model that not only produces accurate results but also reduces the computational burden associated with feature selection for large-scale microarray datasets. This will enable researchers and practitioners to analyze microarray data more efficiently, leading to faster discoveries and advancements in biological research.
Papers In Itjemast 12 6 2021
DOWNLOAD
Author :
language : en
Publisher: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Release Date :
Papers In Itjemast 12 6 2021 written by and has been published by International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.
International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies publishes a wide spectrum of research and technical articles as well as reviews, experiments, experiences, modelings, simulations, designs, and innovations from engineering, sciences, life sciences, and related disciplines as well as interdisciplinary/cross-disciplinary/multidisciplinary subjects. Original work is required. Article submitted must not be under consideration of other publishers for publications.
Translational Bioinformatics In Healthcare And Medicine
DOWNLOAD
Author :
language : en
Publisher: Academic Press
Release Date : 2021-05-13
Translational Bioinformatics In Healthcare And Medicine written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-13 with Medical categories.
Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug repurposing. In addition, it discusses the role of bioinformatics in cancer research and viroinformatics approaches to counter viral diseases through informatics. This is a valuable resource for bioinformaticians, clinicians, healthcare professionals, graduate students and several members of biomedical field who are interested in learning more about how bioinformatics can impact in their research and practice. - Covers recent advancements in translational bioinformatics and its healthcare applications - Discusses integrative and multidisciplinary approaches to U-healthcare systems development and management - Bridges the gap among various knowledge domains in the field, integrating both technological and clinical knowledge into practical content
Harnessing Artificial Intelligence Enhanced Graph Models For Biological Discovery
DOWNLOAD
Author : Sudan Jha
language : en
Publisher: Academic Press
Release Date : 2025-11-14
Harnessing Artificial Intelligence Enhanced Graph Models For Biological Discovery written by Sudan Jha and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-14 with Science categories.
Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based methods to uncover complex biological networks. Through detailed examples and case studies, the book provides researchers and practitioners the essential tools to analyze molecular interactions, identify key biomarkers, and hasten the discovery of novel therapeutics. Chapters delve into the sophisticated interplay between advanced AI techniques and graph models, specially designed to decode the intricacies of biological systems. By utilizing cutting-edge AI algorithms, readers can explore complex biological networks, forecast molecular interactions, and pinpoint new drug targets with exceptional precision. - Offers an innovative approach by combining artificial intelligence with graph-based techniques to delve into complex biological networks - Includes practical examples and case studies, providing researchers and practitioners with the tools they need to analyze molecular interactions and identify crucial biomarkers - Enables researchers to predict molecular interactions and identify novel drug targets with unparalleled accuracy and efficiency - Unlocks new avenues for biological discovery, facilitating precise and effective research outcomes
Iot Wsn Dt Based Medical Systems And Nanotechnology For Smart Cancer Care
DOWNLOAD
Author : Tuan Anh Nguyen
language : en
Publisher: Academic Press
Release Date : 2025-08-01
Iot Wsn Dt Based Medical Systems And Nanotechnology For Smart Cancer Care written by Tuan Anh Nguyen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Science categories.
IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care explores the latest advances in nanotechnology, artificial intelligence, Internet of Medical Things (IoMT), digital twin, and wireless sensor networks for real-time cancer care, enabling efficient decision-making and treatment. The book examines how data from medical nanosensors can be integrated with the technology of digital twins for cancer forecasting and monitoring, providing accessible smart insights via remote and mobile devices. By combining the strengths of smart nanotechnology, IoT-based platforms, WSN technologies, and DT, a powerful medical system can be developed for smart cancer care.This system can help in early diagnosis, targeted drug delivery, real-time monitoring, and personalized treatment, ultimately improving patient outcomes. - Covers how nanosensors and nanodevices can be used in cancer forecasting, detection, and monitoring - Explores how nanomedicines and nanovaccines can be used in cancer treatment and diagnosis - Explains how digital twin, AI, and nanotechnology can be used for the future of cancer diagnostics and treatment
Advances In Intelligent Computing Techniques And Applications
DOWNLOAD
Author : Faisal Saeed
language : en
Publisher: Springer Nature
Release Date : 2024-05-10
Advances In Intelligent Computing Techniques And Applications written by Faisal Saeed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Computers categories.
This book presents the papers included in the proceedings of the 7th International Conference of Reliable Information and Communication Technology 2023 (IRICT 2023) that was held in Pulai Springs Resorts, Johor, Malaysia on 27-28, December 2023. IRICT 2023 is organized by the Yemeni Scientists Research Group (YSRG) and Big Data Center in Universiti Teknologi Malaysia (Malaysia) in collaboration with Association for Information Systems – Malaysia Chapter (MyAIS) and College of Engineering, IT and Environment at Charles Darwin University (Australia). IRICT2023 is a forum for the presentation of technological advances in the field of Information and Communication Technology. The main theme of the conference is “Advances in Intelligent Computing Techniques and Applications”. The book discusses several research topics such as Health Informatics, Artificial Intelligence, Soft Computing, Data Science, Big Data Analytics, Internet of Things (IoT), Intelligent Communication Systems, Cyber Security, and Information System. These papers were presented in three parallel sessions during the two days.
Metaheuristics For Machine Learning
DOWNLOAD
Author : Kanak Kalita
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-30
Metaheuristics For Machine Learning written by Kanak Kalita and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-30 with Computers categories.
METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. Audience The book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms.
Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems
DOWNLOAD
Author : Om Prakash Jena
language : en
Publisher: CRC Press
Release Date : 2022-05-18
Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems written by Om Prakash Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Computers categories.
The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.
Improving The Classification Of Microarray Data
DOWNLOAD
Author : Shuang Liu
language : en
Publisher:
Release Date : 2007
Improving The Classification Of Microarray Data written by Shuang Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Advances In Knowledge Discovery And Data Mining
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2005
Advances In Knowledge Discovery And Data Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data mining categories.