Improving The Classification Of Microarray Data

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Improving The Classification Of Microarray Data

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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.

A Practical Approach To Microarray Data Analysis

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Author : Daniel P. Berrar
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08

A Practical Approach To Microarray Data Analysis written by Daniel P. Berrar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-08 with Science categories.

In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.

Improving Classification Of Microarray Data Using Transfer Learning

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Author : Liang Lan
language : en
Publisher:
Release Date : 2009

Improving Classification Of Microarray Data Using Transfer Learning written by Liang Lan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computational biology categories.

Computational Intelligence For Big Data Analysis

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Author : D.P. Acharjya
language : en
Publisher: Springer
Release Date : 2015-04-21

Computational Intelligence For Big Data Analysis written by D.P. Acharjya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-21 with Technology & Engineering categories.

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.

Iot Wsn Dt Based Medical Systems And Nanotechnology For Smart Cancer Care

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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

Translational Bioinformatics In Healthcare And Medicine

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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

Intelligent Iot Systems In Personalized Health Care

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Author : Arun Kumar Sangaiah
language : en
Publisher: Academic Press
Release Date : 2020-11-06

Intelligent Iot Systems In Personalized Health Care written by Arun Kumar Sangaiah and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Technology & Engineering categories.

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. - Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT - Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems - Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

Proceedings

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Author :
language : en
Publisher:
Release Date : 2004

Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Coding theory categories.

Biological And Medical Data Analysis

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Author : José Luis Oliveira
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-11-04

Biological And Medical Data Analysis written by José Luis Oliveira and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-04 with Computers categories.

This book constitutes the refereed proceedings of the 6th International Symposium on Biological and Medical Data Analysis, ISBMDA 2005, held in Aveiro, Portugal, in November 2005. The 39 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on medical databases and information systems, data analysis and image processing, knowledge discovery and data mining, statistical methods and tools for biomedical data analysis, decision support systems, collaborative systems in biomedical informatics, as well as computational models, structural analysis, and microarray data analysis in the scope of bioinformatics.

Enhancing Feature Selection For Microarray Data Classification

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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.